
English: 
with python being so easy to learn and having a
really powerful capabilities it seems to be the dominant choice
for new learners and industry professionals alike Machine learning and
fight on like peanut butter and jelly and unbeatable match
You don't even have to have much experience in the
technical industry to learn either off these topics with these
girls and had many people go on to work and
companies like Netflix Goldman socks on delight I see these
after daughters like us is enough to get you started
on your journey to becoming proficient in machine learning and
fight on Who knows you might be the next industry
spot This course consists off different aspects off machine learning
as well a spite on So we have got three
amazing faculty members experts in their own right to help
you get started with this discipline in a comprehensive manner
The Doctor of banana circa one off the top 10
data science academicians in India open are another panini And
I suppose Dr Fellow and Mr Graham a big data

English: 
with python being so easy to learn and having a
really powerful capabilities it seems to be the dominant choice
for new learners and industry professionals alike Machine learning and
fight on like peanut butter and jelly and unbeatable match
You don't even have to have much experience in the
technical industry to learn either off these topics with these
girls and had many people go on to work and
companies like Netflix Goldman socks on delight I see these
after daughters like us is enough to get you started
on your journey to becoming proficient in machine learning and
fight on Who knows you might be the next industry
spot This course consists off different aspects off machine learning
as well a spite on So we have got three
amazing faculty members experts in their own right to help
you get started with this discipline in a comprehensive manner
The Doctor of banana circa one off the top 10
data science academicians in India open are another panini And
I suppose Dr Fellow and Mr Graham a big data

English: 
expert Now before we start off with the session and
life to inform you that we will be coming up
with CDs of high quality tutorials on artificial intelligence it's
assigns and so much more So don't forget to subscribe
to our channel and hit the bell icon to get
a notification every time we uploaded a new video If
you like this tutorial don't forget to click on the
thumbs up icon and comin down below what you'd like
to see next Yeah other topics we will cover in
this tutorial First we will get you to dip your
toes in some programming with an introduction to bite on
an anaconda Then we've covered different libraries in part on
including pandas and Mumbai for data processing on manipulation After
that we shall see how we can visualize daytime pipe
on using libraries like my problem and see bond Well
then get into a statistical approach understanding how statistics is
different from machine learning on the different types of statistics
on understanding of data how it is distributed how it

English: 
expert Now before we start off with the session and
life to inform you that we will be coming up
with CDs of high quality tutorials on artificial intelligence it's
assigns and so much more So don't forget to subscribe
to our channel and hit the bell icon to get
a notification every time we uploaded a new video If
you like this tutorial don't forget to click on the
thumbs up icon and comin down below what you'd like
to see next Yeah other topics we will cover in
this tutorial First we will get you to dip your
toes in some programming with an introduction to bite on
an anaconda Then we've covered different libraries in part on
including pandas and Mumbai for data processing on manipulation After
that we shall see how we can visualize daytime pipe
on using libraries like my problem and see bond Well
then get into a statistical approach understanding how statistics is
different from machine learning on the different types of statistics
on understanding of data how it is distributed how it

English: 
gave me measure and how it can be represented We'll
get you right on track toe handle machine learning algorithms
that come your way moving forward You will be introduced
studio enforcement learning its principles and it's tremble Then we
will learn about Q tables Cure learning algorithms on a
case study of a smart actually to help you on
the send reinforcement Learning better Let's give introduced to the
details off this tutorial Dr Abby Rana Sarkar received his
PhD in statistics from Stanford University Here Start applied mathematics
at the Massachusetts Institute of Technology He has also been
on the research stuff That idea The circle has also
led quality engineering development and analgesics Function of G and
has go forward Go mix labs Ah biotechnology starter not
the Nana DARPA enemy has more than 11 years off
industry experience and over four years academic research experience Over
these years he has worked as a professor trader project
manager team leader and development He has completed this PhD
in mathematics from Pierre and Marie Curie University on his

English: 
gave me measure and how it can be represented We'll
get you right on track toe handle machine learning algorithms
that come your way moving forward You will be introduced
studio enforcement learning its principles and it's tremble Then we
will learn about Q tables Cure learning algorithms on a
case study of a smart actually to help you on
the send reinforcement Learning better Let's give introduced to the
details off this tutorial Dr Abby Rana Sarkar received his
PhD in statistics from Stanford University Here Start applied mathematics
at the Massachusetts Institute of Technology He has also been
on the research stuff That idea The circle has also
led quality engineering development and analgesics Function of G and
has go forward Go mix labs Ah biotechnology starter not
the Nana DARPA enemy has more than 11 years off
industry experience and over four years academic research experience Over
these years he has worked as a professor trader project
manager team leader and development He has completed this PhD
in mathematics from Pierre and Marie Curie University on his

English: 
M A C and B SC mathematics from Pondicherry University
and She Krishna They were I University respectively He was
also a postdoctoral fellow at the Institute of Science His
areas of expertise include machine learning optimization financial engineering and
high frequency and I build them a trading He has
published over 10 research articles in international journals and conferences
This is a good woman is a big data and
AWS expert with over a decade off training and consulting
experience in AWS and about 100 people systems like a
party spot He has an impressive resume having worked with
global clients like IBM Cap Gemini Headsail and the proof
to talk it all off He has worked with many
Bay Area start ups in the U S With that
let's get into this machine learning with python cause it's
time for some great learning So like registry said my

English: 
M A C and B SC mathematics from Pondicherry University
and She Krishna They were I University respectively He was
also a postdoctoral fellow at the Institute of Science His
areas of expertise include machine learning optimization financial engineering and
high frequency and I build them a trading He has
published over 10 research articles in international journals and conferences
This is a good woman is a big data and
AWS expert with over a decade off training and consulting
experience in AWS and about 100 people systems like a
party spot He has an impressive resume having worked with
global clients like IBM Cap Gemini Headsail and the proof
to talk it all off He has worked with many
Bay Area start ups in the U S With that
let's get into this machine learning with python cause it's
time for some great learning So like registry said my

English: 
name is Rocco So I have been working for about
12 years as off now Um and I started as
a developer Java developer basically and then moved into something
called Big Data So I have been a big data
developer for quite some time and then more commission learning
because industry changes like you can't stick to hunting And
I also a peach and practice a bit of cloud
computing with Amazon Web services Right So that's what I
do Onda Currently I work as a consultant for some
of the companies I held them in solving their problems
and you know giving them idolizes Esther water tow extra
extra And I also trained people so it great lakes
as off Now most of my training sessions are in
tow Python that's what we're going to do And statistics
as well as Emily So these other areas where I
usually train in Great Lakes we also have ah Specter

English: 
name is Rocco So I have been working for about
12 years as off now Um and I started as
a developer Java developer basically and then moved into something
called Big Data So I have been a big data
developer for quite some time and then more commission learning
because industry changes like you can't stick to hunting And
I also a peach and practice a bit of cloud
computing with Amazon Web services Right So that's what I
do Onda Currently I work as a consultant for some
of the companies I held them in solving their problems
and you know giving them idolizes Esther water tow extra
extra And I also trained people so it great lakes
as off Now most of my training sessions are in
tow Python that's what we're going to do And statistics
as well as Emily So these other areas where I
usually train in Great Lakes we also have ah Specter

English: 
separate program called Big Data Own Cloud which is also
I'm also one of the vendors for that program That's
that's a totally different program not your program But I
was one of the quarter for that program and also
a mentor for that program So there'll be mostly little
bit cloud another kind of technologies right Um well so
let's get into what we're going to do right So
the idea is this is called Introduction to Fight on
for Emel So I think from the industry session you
would have got some Miley about You know what will
be the future right What you're going to learn over
the period of time So see when somebody pick up
the track off machine learning on dhe No start Oh
learn what is machine learning and all Um it's It's
really important that you need a programming language that is
for sure Right So whatever you want to do you
depend on a programming language And there are many languages
like you you could have heard about are there is
language called art and sass and we also have a

English: 
separate program called Big Data Own Cloud which is also
I'm also one of the vendors for that program That's
that's a totally different program not your program But I
was one of the quarter for that program and also
a mentor for that program So there'll be mostly little
bit cloud another kind of technologies right Um well so
let's get into what we're going to do right So
the idea is this is called Introduction to Fight on
for Emel So I think from the industry session you
would have got some Miley about You know what will
be the future right What you're going to learn over
the period of time So see when somebody pick up
the track off machine learning on dhe No start Oh
learn what is machine learning and all Um it's It's
really important that you need a programming language that is
for sure Right So whatever you want to do you
depend on a programming language And there are many languages
like you you could have heard about are there is
language called art and sass and we also have a

English: 
fight on So we will be using pi turn throughout
the course Right So on you may ask like worry
Are you like teaching using fight on Why don't you
just use our or any other language Well by tone
as such has some advantages Because if you look at
the language like our for example that is only used
for this data analytics Kindof jobs less by Tony is
a universal language You know you can have ah very
development in python or you can do any sort of
programming invite on not only related to your mission learning
So then when you go to the industry and when
you start working with real projects right so maybe you
are doing some sort of animal project But that project
also has a part where you know you're you're probably
building of a publication or making an AP I call
or something like that So they're fighting will become handy
So you learn one language which can be used in
many places actually and that is why we are using
by Thorn basically And the second reason obviously is that

English: 
fight on So we will be using pi turn throughout
the course Right So on you may ask like worry
Are you like teaching using fight on Why don't you
just use our or any other language Well by tone
as such has some advantages Because if you look at
the language like our for example that is only used
for this data analytics Kindof jobs less by Tony is
a universal language You know you can have ah very
development in python or you can do any sort of
programming invite on not only related to your mission learning
So then when you go to the industry and when
you start working with real projects right so maybe you
are doing some sort of animal project But that project
also has a part where you know you're you're probably
building of a publication or making an AP I call
or something like that So they're fighting will become handy
So you learn one language which can be used in
many places actually and that is why we are using
by Thorn basically And the second reason obviously is that

English: 
it's sort of like very easy to learn So many
people are like confused I'm not from a programming background
and also probably my programming is not so good as
the other guy So So fighting is very easy to
learn compared to other languages Andi if you're comparing it
something like job or something it's pretty easy right because
I have been working as a job I level up
so basically my skill cities Java Scala fight on So
I also work on Scalia which is one of my
primary skill set and then bite on So when I
compare this together than you know Learning scholar or Java
is very difficult for you So that is why we
have Pie Thorne as a primary language and also by
tone has a support for a rich set off libraries
It's probably I think the person could have explained to
you so and what we will be doing today and
tomorrow is we're going to learn practically so there is
no point in you know talking about the history of
python and what is buy time for four hours Nobody's
going to learn anything End of the day So I

English: 
it's sort of like very easy to learn So many
people are like confused I'm not from a programming background
and also probably my programming is not so good as
the other guy So So fighting is very easy to
learn compared to other languages Andi if you're comparing it
something like job or something it's pretty easy right because
I have been working as a job I level up
so basically my skill cities Java Scala fight on So
I also work on Scalia which is one of my
primary skill set and then bite on So when I
compare this together than you know Learning scholar or Java
is very difficult for you So that is why we
have Pie Thorne as a primary language and also by
tone has a support for a rich set off libraries
It's probably I think the person could have explained to
you so and what we will be doing today and
tomorrow is we're going to learn practically so there is
no point in you know talking about the history of
python and what is buy time for four hours Nobody's
going to learn anything End of the day So I

English: 
also have slice but I think even that it's pointless
Like you can just run some slights and explain But
some concepts are important but majority off the thing we'll
be doing practically Andi Uh did you get a chance
to go through the El Emma's Onda See What is
there for the prerequisite or something like that Have you
guys went through the dilemmas by any chance before coming
to the class Yeah So there is a fight on
Prerequisite I don't know how many of you have going
through that So that is the first thing that you
need to do is that you have to install something
called Anaconda on DDE Have you installed it actually Yeah
Okay that's good So see by phone is open source
by the way So you can just goto the bite
on Web site and download python That's one way off
working with python But that is not really useful because
if you're downloading the open source fight on just original
python It will not commit any libraries for you So

English: 
also have slice but I think even that it's pointless
Like you can just run some slights and explain But
some concepts are important but majority off the thing we'll
be doing practically Andi Uh did you get a chance
to go through the El Emma's Onda See What is
there for the prerequisite or something like that Have you
guys went through the dilemmas by any chance before coming
to the class Yeah So there is a fight on
Prerequisite I don't know how many of you have going
through that So that is the first thing that you
need to do is that you have to install something
called Anaconda on DDE Have you installed it actually Yeah
Okay that's good So see by phone is open source
by the way So you can just goto the bite
on Web site and download python That's one way off
working with python But that is not really useful because
if you're downloading the open source fight on just original
python It will not commit any libraries for you So

English: 
usually what we do is that we prefer this distribution
off by porn by Thorne called Anaconda So Anna corn
guys nothing but a distribution off pipe on So basically
when you're down Lord and install you will be getting
pie turn You will also be getting some off the
libraries which are very commonly used with spite on And
it is very easy to have date And if you
want to add any other libraries you can do it
in an acronym recognize one of the most famous distribution
off by Thorne Um we also have another thing called
and thought cannot be There is something or cannot be
That's another distribution Well can obvious Not very popular like
an acronym but I have also they're similar I mean
the only difference is that the name and the project
but and off the field down Lord cannot you also
you they fight on same thing right now This is
like a distribution which comes with I'll show you certain
tours inside that for so one thing you will be
getting in spite on for sure Then you will be
getting the library's later to bite on Then you will
get an I D For python like eclipse You have

English: 
usually what we do is that we prefer this distribution
off by porn by Thorne called Anaconda So Anna corn
guys nothing but a distribution off pipe on So basically
when you're down Lord and install you will be getting
pie turn You will also be getting some off the
libraries which are very commonly used with spite on And
it is very easy to have date And if you
want to add any other libraries you can do it
in an acronym recognize one of the most famous distribution
off by Thorne Um we also have another thing called
and thought cannot be There is something or cannot be
That's another distribution Well can obvious Not very popular like
an acronym but I have also they're similar I mean
the only difference is that the name and the project
but and off the field down Lord cannot you also
you they fight on same thing right now This is
like a distribution which comes with I'll show you certain
tours inside that for so one thing you will be
getting in spite on for sure Then you will be
getting the library's later to bite on Then you will
get an I D For python like eclipse You have

English: 
four job right So very similar to that you have
Ah I record a spider for python So if you're
using an acronym you'll get begetting spider and some debugging
tours extra like that but end off the day They're
all open source It's not like any preparatory thing that
you're using but it makes it easy for youto down
Lord and in start So we'll be using an AK
wander forever All the hands on practice is so This
is a prerequisite youto in style in a corner on
dhe Then I will show you what to do Once
you have install it how to test it and I
will show you for something on Then we will be
using three I don't think this requires any explanation but
we have a version called Python too which is an
old version I don't to uh by 12 4013 was
officially you know removed from the community not remove The
support was remote So if I don't it would no
longer exist actually But in some of the older projects
We still see if I turn to people writing the

English: 
four job right So very similar to that you have
Ah I record a spider for python So if you're
using an acronym you'll get begetting spider and some debugging
tours extra like that but end off the day They're
all open source It's not like any preparatory thing that
you're using but it makes it easy for youto down
Lord and in start So we'll be using an AK
wander forever All the hands on practice is so This
is a prerequisite youto in style in a corner on
dhe Then I will show you what to do Once
you have install it how to test it and I
will show you for something on Then we will be
using three I don't think this requires any explanation but
we have a version called Python too which is an
old version I don't to uh by 12 4013 was
officially you know removed from the community not remove The
support was remote So if I don't it would no
longer exist actually But in some of the older projects
We still see if I turn to people writing the

English: 
court What were you saying Despite on three there is
no major different message some small syntax differences and performance
improvements in my country But everywhere people followed by country
these days right And now how are we going to
learn python So one thing you need to understand is
that you are going to learn by Thorne in the
aspect off data signs on machine learning You are not
going to learn fight on to create a website for
example That's different right So you will be learning by
turns specifically for data signs or machine learning which means
when you start learning python there are certain libraries and
bite on which you might have to make you So
there is a library called numb pie something called them
by And then there is something called pandas And then
there is something called Seaborn Now you don't have to
really remember them We'll cover them anyway And then there
is something called psych it learn on door So what
are these things These are our libraries which you can

English: 
court What were you saying Despite on three there is
no major different message some small syntax differences and performance
improvements in my country But everywhere people followed by country
these days right And now how are we going to
learn python So one thing you need to understand is
that you are going to learn by Thorne in the
aspect off data signs on machine learning You are not
going to learn fight on to create a website for
example That's different right So you will be learning by
turns specifically for data signs or machine learning which means
when you start learning python there are certain libraries and
bite on which you might have to make you So
there is a library called numb pie something called them
by And then there is something called pandas And then
there is something called Seaborn Now you don't have to
really remember them We'll cover them anyway And then there
is something called psych it learn on door So what
are these things These are our libraries which you can

English: 
download and install along with Python And the good news
is that when you download and install an AC Wanda
all this will come by before like free So we
don't have to separate Lee go and download them right
on in this So why So this is actually your
domain for the rest of the year You will be
playing here So this is very over actually work O
r At least 70 to 80% off The time I'm
talking on labor Tamil when you go deep learning and
a little bit different but usually the male side This
is where people play around right And in this So
what are these things Right So numb pie is a
library which is called a numerical pi Turn on This
is used for you know things like numerical data processing
For example I can have things like Tour Dimension ladies
three dimension ladies multi dimensional I resent also mostly for
scientific calculations and all you need to represent your data
in the form of vanity So you know what is

English: 
download and install along with Python And the good news
is that when you download and install an AC Wanda
all this will come by before like free So we
don't have to separate Lee go and download them right
on in this So why So this is actually your
domain for the rest of the year You will be
playing here So this is very over actually work O
r At least 70 to 80% off The time I'm
talking on labor Tamil when you go deep learning and
a little bit different but usually the male side This
is where people play around right And in this So
what are these things Right So numb pie is a
library which is called a numerical pi Turn on This
is used for you know things like numerical data processing
For example I can have things like Tour Dimension ladies
three dimension ladies multi dimensional I resent also mostly for
scientific calculations and all you need to represent your data
in the form of vanity So you know what is

English: 
an idea Right And ira is just a collection off
numbers I can just say 1234 This is ordinary Well
this is technically a list but you know so something
like this is an airy actually a collection off numbers
Now this is one dimensional right I can also have
two dimensional and three dimensional and even more than three
dimensional wears off representing the data And if my project
requires that my date on used to be represented in
that fashion and then I have to do some manipulation
on my later we use the library called and number
so we will express our number and you will understand
how this is happening And if you're thinking about this
image processing and or it's you we'll learn later But
I imagine you want to do something like image processing
So end of the day what happens when you read
any minute or something it will be converted orbit sender
Bite's basically right So you know that right So if
I have a J pick file I will read it
as an image But when I wantto process it you

English: 
an idea Right And ira is just a collection off
numbers I can just say 1234 This is ordinary Well
this is technically a list but you know so something
like this is an airy actually a collection off numbers
Now this is one dimensional right I can also have
two dimensional and three dimensional and even more than three
dimensional wears off representing the data And if my project
requires that my date on used to be represented in
that fashion and then I have to do some manipulation
on my later we use the library called and number
so we will express our number and you will understand
how this is happening And if you're thinking about this
image processing and or it's you we'll learn later But
I imagine you want to do something like image processing
So end of the day what happens when you read
any minute or something it will be converted orbit sender
Bite's basically right So you know that right So if
I have a J pick file I will read it
as an image But when I wantto process it you

English: 
know I cannot just process any maze What I will
just I'll convert into numbers Basically one sensors So and
then I'll be using this number I I raise to
lure that data and then no matching and classifications or
whatever you want to do So Nam pirates and all
are very important when it comes to your deep learning
image classifications Some off those contexts Maybe not immediately You
will not work on um pie but a basic knowledge
and dump I will be actually helpful for you in
the future All right so this is one thing You
okay S o I will probably explain that So naturally
the question will be that how does the fourth dimension
looked like Are you Christopher Nolan Right I'm obviously so
Yeah So obviously people who last right So tour dimension
You know what it is What about three dimension that
also people can imagine What about Ford I mentioned right

English: 
know I cannot just process any maze What I will
just I'll convert into numbers Basically one sensors So and
then I'll be using this number I I raise to
lure that data and then no matching and classifications or
whatever you want to do So Nam pirates and all
are very important when it comes to your deep learning
image classifications Some off those contexts Maybe not immediately You
will not work on um pie but a basic knowledge
and dump I will be actually helpful for you in
the future All right so this is one thing You
okay S o I will probably explain that So naturally
the question will be that how does the fourth dimension
looked like Are you Christopher Nolan Right I'm obviously so
Yeah So obviously people who last right So tour dimension
You know what it is What about three dimension that
also people can imagine What about Ford I mentioned right

English: 
So then their discussion goes to a different track Or
but yes you can you can actually visualize four dimensions
I can show that Actually it's not a big deal
It's not rocket science It's very simple But in some
of the scientific calculations we need the data in the
form of four dimensions and then you additions and subtractions
on the data So you need a different type off
data structure to represent that you're normal The infrastructure's cannot
define four dimensions or fire damages That is when you
say we'll use number I basically right And in your
projects or upcoming sessions this will be explained for that
whenever it comes to the point off number And this
pandas this is what we will be starting today over
analysis with It's called pandas Okay so pandas is a
library for sort off like label data analysis So you
guys are family with excel right Excel sheets So the
same thing in half by Tony Span does actually you
have labeled data like rows and columns Okay And then

English: 
So then their discussion goes to a different track Or
but yes you can you can actually visualize four dimensions
I can show that Actually it's not a big deal
It's not rocket science It's very simple But in some
of the scientific calculations we need the data in the
form of four dimensions and then you additions and subtractions
on the data So you need a different type off
data structure to represent that you're normal The infrastructure's cannot
define four dimensions or fire damages That is when you
say we'll use number I basically right And in your
projects or upcoming sessions this will be explained for that
whenever it comes to the point off number And this
pandas this is what we will be starting today over
analysis with It's called pandas Okay so pandas is a
library for sort off like label data analysis So you
guys are family with excel right Excel sheets So the
same thing in half by Tony Span does actually you
have labeled data like rows and columns Okay And then

English: 
you want to process the data So I have probably
a data set with a 1,000,000 rose or 10 million
rose and I want to find out something from that
So probably if I use Excel It may not be
a good idea when normal calculations excellence Fine But if
my date as it is like you know 10 million
20 million rose off later than that actually makes ah
problem So we had a customer I was working with
this Most of his bins Mark Right So they were
enough for customers from Germany So Mark actually what they
do all their cars are having this sensor thing So
they make your cards right So if you look at
that most of us been says class it is one
of the safest cars in the world Why Because it
has around 200 different sensors on the car So what
they do they collect the sensor data and the car
is moving It'll track the acceleration break and pedestrians and
everything they will track using the car So this sensor
data they collect So imagine the car is moving like
if I'm traveling for are gonna probably three hours it'll

English: 
you want to process the data So I have probably
a data set with a 1,000,000 rose or 10 million
rose and I want to find out something from that
So probably if I use Excel It may not be
a good idea when normal calculations excellence Fine But if
my date as it is like you know 10 million
20 million rose off later than that actually makes ah
problem So we had a customer I was working with
this Most of his bins Mark Right So they were
enough for customers from Germany So Mark actually what they
do all their cars are having this sensor thing So
they make your cards right So if you look at
that most of us been says class it is one
of the safest cars in the world Why Because it
has around 200 different sensors on the car So what
they do they collect the sensor data and the car
is moving It'll track the acceleration break and pedestrians and
everything they will track using the car So this sensor
data they collect So imagine the car is moving like
if I'm traveling for are gonna probably three hours it'll

English: 
collect the data So this is text data and the
seven terabytes that extra later that you get normal text
will be in terabytes So like more than billions off
rose But but we can't help it right Because sensors
will keep on every second or even less than that
will keep on tracking the motion off the car what
it is doing and they have to collect it And
end of the day Their problem is like I want
to analyze it and then probably make a mission learning
mortal So if I'm giving you such a file for
example I'm giving your text file for a CS refile
But I'm saying that there are you know 100 billion
rose Obviously you cannot Lord in an Excel sheet it
doesn't even work that way So that dying we come
to this spandex spandex is one of the libraries which
helps you to know that there are other libraries so
super spend as its most most common So very well
with the label the data you have rows and columns
on Then you can have selection filtering indexing grouping joints
anything that you normally do on a data set So
we'll be spending a lot of time on pandas message

English: 
collect the data So this is text data and the
seven terabytes that extra later that you get normal text
will be in terabytes So like more than billions off
rose But but we can't help it right Because sensors
will keep on every second or even less than that
will keep on tracking the motion off the car what
it is doing and they have to collect it And
end of the day Their problem is like I want
to analyze it and then probably make a mission learning
mortal So if I'm giving you such a file for
example I'm giving your text file for a CS refile
But I'm saying that there are you know 100 billion
rose Obviously you cannot Lord in an Excel sheet it
doesn't even work that way So that dying we come
to this spandex spandex is one of the libraries which
helps you to know that there are other libraries so
super spend as its most most common So very well
with the label the data you have rows and columns
on Then you can have selection filtering indexing grouping joints
anything that you normally do on a data set So
we'll be spending a lot of time on pandas message

English: 
So there's one place where we need to spend Ah
math blood lip This is used for visualization like I
want to draw a graph So it's it's very important
to tell a story to your customers Right So when
you have a customer so he will give you some
data on and then you want to talk to a
customer so you will analyze the data and usually what
we do is that it's very rare that we used
mad plot live directly We use the library course Eban
The Seaborne is built on top of matter Basically So
this is that ivy actually used for visualization where you
can have nice graphs bar charts pie charts or scattered
diagrams or box floors or any type of flirting you
want to do But then you will be thinking that
Hey this is very similar Even I can do what
Plotting And also how do you normally if I ask
youto write their plot or create what doors will you

English: 
So there's one place where we need to spend Ah
math blood lip This is used for visualization like I
want to draw a graph So it's it's very important
to tell a story to your customers Right So when
you have a customer so he will give you some
data on and then you want to talk to a
customer so you will analyze the data and usually what
we do is that it's very rare that we used
mad plot live directly We use the library course Eban
The Seaborne is built on top of matter Basically So
this is that ivy actually used for visualization where you
can have nice graphs bar charts pie charts or scattered
diagrams or box floors or any type of flirting you
want to do But then you will be thinking that
Hey this is very similar Even I can do what
Plotting And also how do you normally if I ask
youto write their plot or create what doors will you

English: 
use in apart from python in your debt Excel or
or probably PowerPoint or something you will use right But
how about the difference here is that these libraries the
Seaborne Mac lordly they allow you to do statistical plotting
For example I have ah set off data I wantto
calculate the mean median and standard deviation and based on
that I want a plot or I want to include
those properties Then they will alone So it's not like
a normal X Y plot that anybody can do I
don't need my quarterly for that So these two libraries
have to do a bit with your status Take a
side Now The problem is that I will cover a
Seaborne tomorrow for sure But actually in order to completely
in distance Seaborn you need tohave some status six base
your status It's class will start only tomorrow afternoon My
classes in the morning actually So birdie will cover it
so that you will understand what it is and also
visualizations Initially you will not be touching a lot as

English: 
use in apart from python in your debt Excel or
or probably PowerPoint or something you will use right But
how about the difference here is that these libraries the
Seaborne Mac lordly they allow you to do statistical plotting
For example I have ah set off data I wantto
calculate the mean median and standard deviation and based on
that I want a plot or I want to include
those properties Then they will alone So it's not like
a normal X Y plot that anybody can do I
don't need my quarterly for that So these two libraries
have to do a bit with your status Take a
side Now The problem is that I will cover a
Seaborne tomorrow for sure But actually in order to completely
in distance Seaborn you need tohave some status six base
your status It's class will start only tomorrow afternoon My
classes in the morning actually So birdie will cover it
so that you will understand what it is and also
visualizations Initially you will not be touching a lot as

English: 
you proceed You know the respective topics that will be
covered What sort Official decision you're using So these two
are basically visualization and psychic learners where you apply actual
machine running So cycle learn is your primary library for
all the ml algorithms that you will be using All
right so after the next month or so when you
actually start learning machine learning more stuff your machine learning
algorithms are inside this library Course I could learn So
I will not be touching psychic learn because that is
the whole course Actually So I really my job will
be to cover basically pandas mostly on then Matt for
clemency born in one and a bit off Nam pie
And that's that is a job given for me to
at least give you a basic idea on again If
you look at say something like pandas the top because
very exhausted So it is not like I'm gonna teach
you everything about pandas in front Three hours or four
were stacks Impossible Right So that way if you do
this is like I will be covering the basics off

English: 
you proceed You know the respective topics that will be
covered What sort Official decision you're using So these two
are basically visualization and psychic learners where you apply actual
machine running So cycle learn is your primary library for
all the ml algorithms that you will be using All
right so after the next month or so when you
actually start learning machine learning more stuff your machine learning
algorithms are inside this library Course I could learn So
I will not be touching psychic learn because that is
the whole course Actually So I really my job will
be to cover basically pandas mostly on then Matt for
clemency born in one and a bit off Nam pie
And that's that is a job given for me to
at least give you a basic idea on again If
you look at say something like pandas the top because
very exhausted So it is not like I'm gonna teach
you everything about pandas in front Three hours or four
were stacks Impossible Right So that way if you do
this is like I will be covering the basics off

English: 
All off this today and tomorrow and Sunday you have
a practice session So normally we have a practice where
you know somebody will be coming to assist you So
you will have some questions to be sold and answers
will be there and you practice And then the good
news is like your next class will be after a
month And that class will be a statistical class not
a python Plus Then the technicals last will set This
is also technically the next class will be after two
months Actually when you start Ml so you will get
around two months to you know go through where they
have taught you Basically night So So that we give
you enough time to pick up items Somebody is thinking
that Okay I need some time to learn by tone
or get some idea you will get a good amount
of time to pick it up Right Um and Yeah
Study huh Yeah So one thing is that so I
don't want you to immediately pick it up So not
normally trainers will not say like this But you know
I don't want you like today you go go home

English: 
All off this today and tomorrow and Sunday you have
a practice session So normally we have a practice where
you know somebody will be coming to assist you So
you will have some questions to be sold and answers
will be there and you practice And then the good
news is like your next class will be after a
month And that class will be a statistical class not
a python Plus Then the technicals last will set This
is also technically the next class will be after two
months Actually when you start Ml so you will get
around two months to you know go through where they
have taught you Basically night So So that we give
you enough time to pick up items Somebody is thinking
that Okay I need some time to learn by tone
or get some idea you will get a good amount
of time to pick it up Right Um and Yeah
Study huh Yeah So one thing is that so I
don't want you to immediately pick it up So not
normally trainers will not say like this But you know
I don't want you like today you go go home

English: 
and like should I wanna learn by turn for three
hours now And generally I'm gonna talk to anybody All
right So it's not like that right So you can't
learn it that way So today and tomorrow mostly I
want you to pay attention and understand what we're doing
You are not really learning anything right And then the
Sunday class will give you some more idea Then I'm
gonna share you set off assignments and practice and solutions
which you must do And I'm also gonna share some
learning my TV over the period to cover All right
so the idea is like you are all working professionals
So you spend some time every day probably you know
half another 15 minutes That's more than enough for youto
get prepared for python And of course in the ml
classes spite and will be used in a different way
So in a male classes you will be having pandas
for sure But then pandas issues Okay I forgot So
in the last class there was a small confusion So
I take regular classes But see this whole thing What
we're doing is called E T And I don't want
you to forget this name There is a reason behind

English: 
and like should I wanna learn by turn for three
hours now And generally I'm gonna talk to anybody All
right So it's not like that right So you can't
learn it that way So today and tomorrow mostly I
want you to pay attention and understand what we're doing
You are not really learning anything right And then the
Sunday class will give you some more idea Then I'm
gonna share you set off assignments and practice and solutions
which you must do And I'm also gonna share some
learning my TV over the period to cover All right
so the idea is like you are all working professionals
So you spend some time every day probably you know
half another 15 minutes That's more than enough for youto
get prepared for python And of course in the ml
classes spite and will be used in a different way
So in a male classes you will be having pandas
for sure But then pandas issues Okay I forgot So
in the last class there was a small confusion So
I take regular classes But see this whole thing What
we're doing is called E T And I don't want
you to forget this name There is a reason behind

English: 
this It's God exploration Relate analytics Why This is funny
actually because in the last fight don't last I thought
all this but I didn't say this name in the
next last The trainer said Okay all of your completed
the idea They said no trainer did notice a single
line of fury and other They got confused He immediately
called me What did you do for eight hours Did
you actually skip your class I'm gonna check the recording
So No I didn't skip I thought all this No
the participants suffering They didn't even learn us bit off
early So that so Keep remember then if somebody asks
you say you learn at least see I'm also doing
a job right So So great learning is I will
get this great king last time I know what he
was in the class but what he was doing we
should probably check the recording Since then a bad had
happened Actually no I mean it had matters sometimes you
know So this is called TV Why this is called
led because usually in a typical machine learning project what

English: 
this It's God exploration Relate analytics Why This is funny
actually because in the last fight don't last I thought
all this but I didn't say this name in the
next last The trainer said Okay all of your completed
the idea They said no trainer did notice a single
line of fury and other They got confused He immediately
called me What did you do for eight hours Did
you actually skip your class I'm gonna check the recording
So No I didn't skip I thought all this No
the participants suffering They didn't even learn us bit off
early So that so Keep remember then if somebody asks
you say you learn at least see I'm also doing
a job right So So great learning is I will
get this great king last time I know what he
was in the class but what he was doing we
should probably check the recording Since then a bad had
happened Actually no I mean it had matters sometimes you
know So this is called TV Why this is called
led because usually in a typical machine learning project what

English: 
do you use that you first collect the later whatever
data you have on dhe Then you do this part
called Edie Exploration Relate analytics Um there is a slight
Probably I will show you which will be very consoling
for many off you because ah lot off people were
concerned that you know I have to do a lot
of programming now So after learning all this ML when
I get a job out of state and program so
there is a slide of riches nor justice life around
a 70 to 80% of the time in a mill
project You're not really sitting and programming You're just trying
to understand your data And that's true I mean I'm
not making this up So when you start animal project
the problem is like so we had a project on
the New York Children's Hospital We were working on a
project from the New York Children's Hospital So they're dead
It's a Children's hospital right So they were trying to
detect early cancer in Children That is encouraging The end

English: 
do you use that you first collect the later whatever
data you have on dhe Then you do this part
called Edie Exploration Relate analytics Um there is a slight
Probably I will show you which will be very consoling
for many off you because ah lot off people were
concerned that you know I have to do a lot
of programming now So after learning all this ML when
I get a job out of state and program so
there is a slide of riches nor justice life around
a 70 to 80% of the time in a mill
project You're not really sitting and programming You're just trying
to understand your data And that's true I mean I'm
not making this up So when you start animal project
the problem is like so we had a project on
the New York Children's Hospital We were working on a
project from the New York Children's Hospital So they're dead
It's a Children's hospital right So they were trying to
detect early cancer in Children That is encouraging The end

English: 
goal is like you showed up You know I figured
out if if given a patient what is a probability
this patient will get cancer or not So that is
end goal off this project actually so you know this
is the project and we know Okay this is what
you need to do But the real challenge is that
if I need to do this what is the data
that I'm going to look at All right so then
you start understanding So first thing is that you understand
that don't mean because I had no clue about the
healthcare or mean or specific to cancer So then you
understand You know some aspects off the domain Like what
is cancer What causes it What are the factors which
influences it That's a actually influences it So this will
take roughly around 1 to 2 months to understand the
domain and the features off our data Then you talk
to the hospital and the doctors and try to collect
the later so initially you may not get enough data
You will just get the patient records which will have
their age weight and statistics and then you ask for
more data So the more data you get the more
features you can get from the data on that will

English: 
goal is like you showed up You know I figured
out if if given a patient what is a probability
this patient will get cancer or not So that is
end goal off this project actually so you know this
is the project and we know Okay this is what
you need to do But the real challenge is that
if I need to do this what is the data
that I'm going to look at All right so then
you start understanding So first thing is that you understand
that don't mean because I had no clue about the
healthcare or mean or specific to cancer So then you
understand You know some aspects off the domain Like what
is cancer What causes it What are the factors which
influences it That's a actually influences it So this will
take roughly around 1 to 2 months to understand the
domain and the features off our data Then you talk
to the hospital and the doctors and try to collect
the later so initially you may not get enough data
You will just get the patient records which will have
their age weight and statistics and then you ask for
more data So the more data you get the more
features you can get from the data on that will

English: 
impact the normal mortal So actually doing the same Ellis
Not a very big deal as you have thinking about
because you haven't I'll go to them to do this
right So probably in the morning you would ever discussed
So for every machine learning problem we have an algorithm
which can solve the problem Right So all you need
to do is call the I'll go to them give
the date and go to them and give you that
assault It's probably 10 minutes job really All right so
it's not like very complicated But before you call the
algorithm you should have the right date on the right
format to feel good Then it's going to give you
the expected result The majority off the time the later
scientists are spending in you know understanding the data and
seeing if I can collect other varieties off data than
what features I can extract So initially we were getting
only patient records okay And then we build a model
that was not very powerful was giving the sense but
it was not really what the you know center was
expecting And then we had further discussions on Dhe Then

English: 
impact the normal mortal So actually doing the same Ellis
Not a very big deal as you have thinking about
because you haven't I'll go to them to do this
right So probably in the morning you would ever discussed
So for every machine learning problem we have an algorithm
which can solve the problem Right So all you need
to do is call the I'll go to them give
the date and go to them and give you that
assault It's probably 10 minutes job really All right so
it's not like very complicated But before you call the
algorithm you should have the right date on the right
format to feel good Then it's going to give you
the expected result The majority off the time the later
scientists are spending in you know understanding the data and
seeing if I can collect other varieties off data than
what features I can extract So initially we were getting
only patient records okay And then we build a model
that was not very powerful was giving the sense but
it was not really what the you know center was
expecting And then we had further discussions on Dhe Then

English: 
they said we will also share some more data Okay
which is not directly related to cancer But some of
the things which may affect For example we started looking
at jean patterns and all For example if so it
is a started which is going on which proves that
it can be hereditary cancer It's not hereditary actually But
what is that Flicked off that All right so then
that is a whole different question So now you need
that kind of for data Where you another person's heritage
Really It is his G genome data Father Mother beatings
and or this What This is the history of cancer
in the family and I So then how do you
represent that data So this is a majority of the
time you're playing with the data that is this CD
apart So once your data is finalized and you have
an idea Okay so this is what I want calling
the ml algorithm It's not a big deal Actually everything
is already return If I'm calling a regression algorithm it's
already written I'm not writing anything just passing the date
I'm getting now But then I validate his disconnect What
I'm doing So if that is not correct then I

English: 
they said we will also share some more data Okay
which is not directly related to cancer But some of
the things which may affect For example we started looking
at jean patterns and all For example if so it
is a started which is going on which proves that
it can be hereditary cancer It's not hereditary actually But
what is that Flicked off that All right so then
that is a whole different question So now you need
that kind of for data Where you another person's heritage
Really It is his G genome data Father Mother beatings
and or this What This is the history of cancer
in the family and I So then how do you
represent that data So this is a majority of the
time you're playing with the data that is this CD
apart So once your data is finalized and you have
an idea Okay so this is what I want calling
the ml algorithm It's not a big deal Actually everything
is already return If I'm calling a regression algorithm it's
already written I'm not writing anything just passing the date
I'm getting now But then I validate his disconnect What
I'm doing So if that is not correct then I

English: 
need to again rebuild my data and then trained my
model And Oh So that is why this idiot part
is very important because you have to collect the data
and then look at the data on extract certain features
on the later and then compare it That is where
this idea becomes very useful These are not the only
the imitates There are further methods as well which you
will cover later This is some of the basic idea
things that usually Ah so that project actually got on
hold but we went up to 96 97% accuracy levels
in there So like now that model is not training
But we were able to ah you know achieve I
was not actively a contributor in that project But I
was helping them since that was a new project actually
are you able to get a good accuracy 11 in
that Actually so it depends on what kind of problem

English: 
need to again rebuild my data and then trained my
model And Oh So that is why this idiot part
is very important because you have to collect the data
and then look at the data on extract certain features
on the later and then compare it That is where
this idea becomes very useful These are not the only
the imitates There are further methods as well which you
will cover later This is some of the basic idea
things that usually Ah so that project actually got on
hold but we went up to 96 97% accuracy levels
in there So like now that model is not training
But we were able to ah you know achieve I
was not actively a contributor in that project But I
was helping them since that was a new project actually
are you able to get a good accuracy 11 in
that Actually so it depends on what kind of problem

English: 
you are solving right Each problem is actually different for
him Andi Like I said dub So what we will
do We will just look at the basics off bite
on a little bit and then we will go toe
pandas and we will do some hands on with pandas
night and then Nam pie and then this visualization stuff
right So I think possibly I should uh you know
it started with the hands on part So if you
can look at your laptops right So today probably what
we will do is like you can go along with
me if you want Maybe tomorrow I will do it
myself because it also takes time right So maybe depending
on what we need to cover sometimes to motor what
I will do I will just demonstrate and you can
practice later Ls that will not be a challenge So
if you haven't installed Anaconda right um you can just
saw us for Anaconda This see there is something called
an acronym navigated and you can just open it just
just to make sure that things are you know working

English: 
you are solving right Each problem is actually different for
him Andi Like I said dub So what we will
do We will just look at the basics off bite
on a little bit and then we will go toe
pandas and we will do some hands on with pandas
night and then Nam pie and then this visualization stuff
right So I think possibly I should uh you know
it started with the hands on part So if you
can look at your laptops right So today probably what
we will do is like you can go along with
me if you want Maybe tomorrow I will do it
myself because it also takes time right So maybe depending
on what we need to cover sometimes to motor what
I will do I will just demonstrate and you can
practice later Ls that will not be a challenge So
if you haven't installed Anaconda right um you can just
saw us for Anaconda This see there is something called
an acronym navigated and you can just open it just
just to make sure that things are you know working

English: 
fine Well Jupiter is in fact not an I d
e a spider is the i d E will be
using Jupiter for sure I'm inspired We don't you spider
at all for camel projects Actually I'll show you So
once you start you Anaconda and one more thing you
can do is that if you're not really very much
comfortable programming I mean you may be somehow comfortable but
if you feel like you're not really comfortable program you
can just take a help for somebody who's sitting next
to you right Yeah So if you open and a
corner you will see these icons on in this icons
We are really interested only in this thing called Jupiter
Nor does the second thing that you see there are
many things Actually we are not really using any off
them For most of the data science projects Jupiter is
the primary you know building platform for prototyping And at
least now when you begin and I bent once you
completely three months six months and all Probably you can

English: 
fine Well Jupiter is in fact not an I d
e a spider is the i d E will be
using Jupiter for sure I'm inspired We don't you spider
at all for camel projects Actually I'll show you So
once you start you Anaconda and one more thing you
can do is that if you're not really very much
comfortable programming I mean you may be somehow comfortable but
if you feel like you're not really comfortable program you
can just take a help for somebody who's sitting next
to you right Yeah So if you open and a
corner you will see these icons on in this icons
We are really interested only in this thing called Jupiter
Nor does the second thing that you see there are
many things Actually we are not really using any off
them For most of the data science projects Jupiter is
the primary you know building platform for prototyping And at
least now when you begin and I bent once you
completely three months six months and all Probably you can

English: 
use different or sores but to get started What you
need is this thing called Jupiter So either you can
click on the launch buttons here One thing there is
a launch button or even it will be available here
If you go to the program's just by Jove Peterson
Murder Maybe there Yeah that is your Peter notebook So
whichever way either you click on this launch or click
on this Just open this thing called Jupiter It will
open a browser I will tell you what it is
It's opening night But I was that Well what is
this Right So Jupiter is actually on open source project
or is an elite was called I put it on
our book later It was renamed as Jupiter nor book
It is ah browser based interactive shell for fight on
meaning Normally if you're writing a program what you do
is that either we will take our next part or
something or he would open the command prompt and fight
the program So if you're doing something like job or
something you lose eclipse or something I in case off
fightin since it is sort of like a scripting kind

English: 
use different or sores but to get started What you
need is this thing called Jupiter So either you can
click on the launch buttons here One thing there is
a launch button or even it will be available here
If you go to the program's just by Jove Peterson
Murder Maybe there Yeah that is your Peter notebook So
whichever way either you click on this launch or click
on this Just open this thing called Jupiter It will
open a browser I will tell you what it is
It's opening night But I was that Well what is
this Right So Jupiter is actually on open source project
or is an elite was called I put it on
our book later It was renamed as Jupiter nor book
It is ah browser based interactive shell for fight on
meaning Normally if you're writing a program what you do
is that either we will take our next part or
something or he would open the command prompt and fight
the program So if you're doing something like job or
something you lose eclipse or something I in case off
fightin since it is sort of like a scripting kind

English: 
off a language It's very easy to write the court
What Jupiter allows you to is to create something called
notebook A notebook is an environment where you can type
your court run the court see the output and the
advantages that you can share it with others also So
just tow show you an example We will pick up
some notebooks but you guys can't do this You can
say new There's a new button and there is something
or bite on three you click on despite on three
ideally in a different lab this will open So why
didn't you just go here Say new fight on three
and something like this will open night Are you able
to know this Yeah Okay so this is called a
notebook Now if you really want to know what this
guy's doing it's very simple For example I can say
a quilt of five be Quito 10 Okay And I

English: 
off a language It's very easy to write the court
What Jupiter allows you to is to create something called
notebook A notebook is an environment where you can type
your court run the court see the output and the
advantages that you can share it with others also So
just tow show you an example We will pick up
some notebooks but you guys can't do this You can
say new There's a new button and there is something
or bite on three you click on despite on three
ideally in a different lab this will open So why
didn't you just go here Say new fight on three
and something like this will open night Are you able
to know this Yeah Okay so this is called a
notebook Now if you really want to know what this
guy's doing it's very simple For example I can say
a quilt of five be Quito 10 Okay And I

English: 
can simply say orange A plus B Think probably you
can understand the court snorts are difficult So let's say
I'm writing a court like this Okay so I'm saying
that is a variable eh That's five bees then and
I just wantto bring Dave speed Right So this is
my program Imagine now if I wantto executor my program
what I can do either I can click on this
run button There's a button run or I can just
press shift ended Just run the Pro Accord and show
me that book This is basically what in this So
it is an interactive notebook You can type and click
and see what you're typing or what it is going
to do And for most off your our data signs
or am L projects you'll be using this tool It
was in ML It's very important that in every step
you see what's happening All right so you run right
a fruit cord and then burn it But rather you
Lord the greater than See what is the rate up
Filter it see what it is So the most convenient
way to work that is using Jupiter shall be using

English: 
can simply say orange A plus B Think probably you
can understand the court snorts are difficult So let's say
I'm writing a court like this Okay so I'm saying
that is a variable eh That's five bees then and
I just wantto bring Dave speed Right So this is
my program Imagine now if I wantto executor my program
what I can do either I can click on this
run button There's a button run or I can just
press shift ended Just run the Pro Accord and show
me that book This is basically what in this So
it is an interactive notebook You can type and click
and see what you're typing or what it is going
to do And for most off your our data signs
or am L projects you'll be using this tool It
was in ML It's very important that in every step
you see what's happening All right so you run right
a fruit cord and then burn it But rather you
Lord the greater than See what is the rate up
Filter it see what it is So the most convenient
way to work that is using Jupiter shall be using

English: 
Jupiter all the way All right Yes So um some
off You're having small difficulties and starting night by Thorne
and all It's perfectly fine even if you're not able
to do it right now It's perfectly fine So anyway
I'll be sharing whatever I'm doing over there limits by
now in the elements you have Ah file Can you
look in this file if you go to the Olympus
Um let me just Can you see these files and
elements There is a python overview fight on visualization store
sales Uber driver Exeter Um we're in a limits They
will be a zip file for bite on files Do
you see Is it filed for bite on files Can
you download it and extracted inside that You will have
a zip file right Can you download it and extract
it on De So once you've downloaded extracted and you

English: 
Jupiter all the way All right Yes So um some
off You're having small difficulties and starting night by Thorne
and all It's perfectly fine even if you're not able
to do it right now It's perfectly fine So anyway
I'll be sharing whatever I'm doing over there limits by
now in the elements you have Ah file Can you
look in this file if you go to the Olympus
Um let me just Can you see these files and
elements There is a python overview fight on visualization store
sales Uber driver Exeter Um we're in a limits They
will be a zip file for bite on files Do
you see Is it filed for bite on files Can
you download it and extracted inside that You will have
a zip file right Can you download it and extract
it on De So once you've downloaded extracted and you

English: 
should see these files So basically what you need to
do once you download them opening a Jupiter So there's
my Jupiter Right And all you need to do is
let me see if it is already there No it
is not there Only just picking this up Your button
There's enough Lord Burton Okay On dhe Then select the
file you downloaded Let me show you Which one Uh
where is it JJ by Thorne files and then select
this file called by turn overview Can you see and
say open and taken up yours Mexico So what do
you need to go click on Um you know this
icon called up Lord You call this a floor and
upload this python overview Fine Now I have seen some
of the classes for some participants When they tried to
do this it will not get uploaded And the issue

English: 
should see these files So basically what you need to
do once you download them opening a Jupiter So there's
my Jupiter Right And all you need to do is
let me see if it is already there No it
is not there Only just picking this up Your button
There's enough Lord Burton Okay On dhe Then select the
file you downloaded Let me show you Which one Uh
where is it JJ by Thorne files and then select
this file called by turn overview Can you see and
say open and taken up yours Mexico So what do
you need to go click on Um you know this
icon called up Lord You call this a floor and
upload this python overview Fine Now I have seen some
of the classes for some participants When they tried to
do this it will not get uploaded And the issue

English: 
was with the browser So sometimes if you're using Internet
Explorer it will not I love you but I don't
know why for that reason but And if you have
uploaded it successfully you should see it here like this
on my screen Somebody in this form So if you
just click on this file but don't overdo it should
open like this You know you should see this actually
Right So this is the advantage of a notebook C
You can type your court and you can even tight
the explanation See So I have type something like core
structure What are you learning You know all these things
and this is not actually called This is just the
markup right that I'm doing So I can even types
these kind of explanations and share with people It's very
easy right And I want you to do one thing
Once you open this goto this cell may know there
is a cell can you see And there is something
called all our put clear the last option because normally
when you create a notebook it will have some outputs
already So I just want you to clear it It's

English: 
was with the browser So sometimes if you're using Internet
Explorer it will not I love you but I don't
know why for that reason but And if you have
uploaded it successfully you should see it here like this
on my screen Somebody in this form So if you
just click on this file but don't overdo it should
open like this You know you should see this actually
Right So this is the advantage of a notebook C
You can type your court and you can even tight
the explanation See So I have type something like core
structure What are you learning You know all these things
and this is not actually called This is just the
markup right that I'm doing So I can even types
these kind of explanations and share with people It's very
easy right And I want you to do one thing
Once you open this goto this cell may know there
is a cell can you see And there is something
called all our put clear the last option because normally
when you create a notebook it will have some outputs
already So I just want you to clear it It's

English: 
just for to this cell menu all our put and
sickly Now you can also insert your own Now you
know cells So basically how the notebook works you can
see different different sells itself can be executed independently And
you can also write your own cells if you want
right And this is a core structure So first we
will look at some of the native data types and
fight on which are important for you on We will
look at pandas and basic data from attributes and common
data manipulation tasks using pandas Then there's loops and functions
visualization any other miscellaneous tropics right And what I want
you to do first is to run this cell under
this basic data types You have a cell here so
either you can press shift ender But you can click
on Mr Ron Burton And how do you know whether
it is actually running You will see this number one
here Can you see this means that has signed Okay
So that that is only there to identify whether that

English: 
just for to this cell menu all our put and
sickly Now you can also insert your own Now you
know cells So basically how the notebook works you can
see different different sells itself can be executed independently And
you can also write your own cells if you want
right And this is a core structure So first we
will look at some of the native data types and
fight on which are important for you on We will
look at pandas and basic data from attributes and common
data manipulation tasks using pandas Then there's loops and functions
visualization any other miscellaneous tropics right And what I want
you to do first is to run this cell under
this basic data types You have a cell here so
either you can press shift ender But you can click
on Mr Ron Burton And how do you know whether
it is actually running You will see this number one
here Can you see this means that has signed Okay
So that that is only there to identify whether that

English: 
cell has executed for distance And exactly on what is
this So basically I'm just doing a small import here
So I'm saying that from my python import something called
interactive shell on interactive shell cord interactively or I will
explain this So basically what I'm doing is that I'm
just telling that I want to work interactively on the
I fight or notebook So we just need to run
so standard the court No boilerplate kind of court We
never were interacting that I pattern I will explain what
this court means to you in a moment but just
run this and make sure you can see this It
is actually running right No Actually there is some court
here but you can insert your own self so I
don't want to just run what you can do that
you can say insert and you can say sell below
And what will happen You'll get a stand like this
all right And you cannot just like what you wantto
type That's up to you So after you run the
first cell I just want you to insert a cell

English: 
cell has executed for distance And exactly on what is
this So basically I'm just doing a small import here
So I'm saying that from my python import something called
interactive shell on interactive shell cord interactively or I will
explain this So basically what I'm doing is that I'm
just telling that I want to work interactively on the
I fight or notebook So we just need to run
so standard the court No boilerplate kind of court We
never were interacting that I pattern I will explain what
this court means to you in a moment but just
run this and make sure you can see this It
is actually running right No Actually there is some court
here but you can insert your own self so I
don't want to just run what you can do that
you can say insert and you can say sell below
And what will happen You'll get a stand like this
all right And you cannot just like what you wantto
type That's up to you So after you run the
first cell I just want you to insert a cell

English: 
at in Python At least for the time being you
need to know only three basic later types So if
you put a hash it will not work commending his
hash and by dawn you know right So if you're
type a hash and pipe any cortical not actually execute
So that is what I'm typing A hash So basically
invite Thorne the three later types you should know our
one is called a list Then there is something called
a dictionary And then there is something called a toupee
So what I'm saying is that list dictionary and people
are the creator types you should know at least for
you Emma Land or these kind of things Mostly there
are other data that's also invite thrown off course There
are a number of writer types but these three things
are very important because these three days our lives can
hold your data You know like more than one piece
So all these have collections kind of data And the
first thing that typically you should know is called a
list So what is a list A list It's nothing
but a collection off elements on How do you create

English: 
at in Python At least for the time being you
need to know only three basic later types So if
you put a hash it will not work commending his
hash and by dawn you know right So if you're
type a hash and pipe any cortical not actually execute
So that is what I'm typing A hash So basically
invite Thorne the three later types you should know our
one is called a list Then there is something called
a dictionary And then there is something called a toupee
So what I'm saying is that list dictionary and people
are the creator types you should know at least for
you Emma Land or these kind of things Mostly there
are other data that's also invite thrown off course There
are a number of writer types but these three things
are very important because these three days our lives can
hold your data You know like more than one piece
So all these have collections kind of data And the
first thing that typically you should know is called a
list So what is a list A list It's nothing
but a collection off elements on How do you create

English: 
a list ISS like this for example I can say
something like this my list equal to let's say 2030
You guys can also try with me if you want
70 That's it So how do you identify something is
the list is the square bracket So that is the
thing you need to understand If you see a Squire
bracket it's a list the light on So I just
created a list called my list and you say equal
to and then you just drive this or this creates
a list Now in case off your typewriter notebook if
you wantto run something So I have this I can
just say run and it should just create the list
for me So now the list is created for me
on If you want to see this you can simply
fight the name I can simply say my list uh
my list and run this again and it should Clinton
So this proves that the list is actually created So
whenever we want to put in something in the Nord

English: 
a list ISS like this for example I can say
something like this my list equal to let's say 2030
You guys can also try with me if you want
70 That's it So how do you identify something is
the list is the square bracket So that is the
thing you need to understand If you see a Squire
bracket it's a list the light on So I just
created a list called my list and you say equal
to and then you just drive this or this creates
a list Now in case off your typewriter notebook if
you wantto run something So I have this I can
just say run and it should just create the list
for me So now the list is created for me
on If you want to see this you can simply
fight the name I can simply say my list uh
my list and run this again and it should Clinton
So this proves that the list is actually created So
whenever we want to put in something in the Nord

English: 
book you don't have to explicitly type print the last
Linus anyway printed So you may be wondering that normally
when you want to print something or separate and then
the this thing and I put it on our book
the last line or any variable you just right it'll
printed by four So you can easily see that And
I So first thing you need to understand is that
this is a list You see the Squire bracket thing
right And also if you wantto access any element from
the list you will always say my list Okay I'll
just probably pipe it here and you can simply say
this notation zero So what will happen You can access
the elements using the index position so zero will be
the first element It'll print 20 All right And if
I say is the row coma one what will happen
now it will not bring so you cannot access like
that Okay so yeah so I'll tell you But so

English: 
book you don't have to explicitly type print the last
Linus anyway printed So you may be wondering that normally
when you want to print something or separate and then
the this thing and I put it on our book
the last line or any variable you just right it'll
printed by four So you can easily see that And
I So first thing you need to understand is that
this is a list You see the Squire bracket thing
right And also if you wantto access any element from
the list you will always say my list Okay I'll
just probably pipe it here and you can simply say
this notation zero So what will happen You can access
the elements using the index position so zero will be
the first element It'll print 20 All right And if
I say is the row coma one what will happen
now it will not bring so you cannot access like
that Okay so yeah so I'll tell you But so

English: 
if you want to just print one particular element you
can say like three So this will bring word 50
because 0123 Now if you want a range of elements
for example I wantto print the 20 and 30 All
right you can simply say I can say something like
the road So when you says the photo to what
it basically means is that I want to Prince Road
and the first element Nor does 2nd 1 No nor
the position too So if I says the road to
export apparent 2030 if I says roto three were little
print 2030 40 All right so this is one way
off Accessing you know the elements within the list You
always use this colon notation and say that which elements
or which range you want to actually print on This

English: 
if you want to just print one particular element you
can say like three So this will bring word 50
because 0123 Now if you want a range of elements
for example I wantto print the 20 and 30 All
right you can simply say I can say something like
the road So when you says the photo to what
it basically means is that I want to Prince Road
and the first element Nor does 2nd 1 No nor
the position too So if I says the road to
export apparent 2030 if I says roto three were little
print 2030 40 All right so this is one way
off Accessing you know the elements within the list You
always use this colon notation and say that which elements
or which range you want to actually print on This

English: 
notation is very common in bite on This is not
only in list Even if you go to data pandas
and or we'll be using this colon something from something
It'll start bringing those elements Okay Now what if I
want only 20 and 40 Armand everything right I want
only 20 and 40 So during these position is work
zero Then what Three I don't know You get it
No So take it as an assignment I'll explain this
but yeah So normally when you wantto print a series
off element you will say like this the rotors Three
The small print except 2030 40 I'll tell you how
to parent individual elements or you guys can figure it
out figure it out and tell me yourself some in
class assignment for that right So my question is that
how do you print Wendy And only 50 If you
want you can try and let me know Um anybody

English: 
notation is very common in bite on This is not
only in list Even if you go to data pandas
and or we'll be using this colon something from something
It'll start bringing those elements Okay Now what if I
want only 20 and 40 Armand everything right I want
only 20 and 40 So during these position is work
zero Then what Three I don't know You get it
No So take it as an assignment I'll explain this
but yeah So normally when you wantto print a series
off element you will say like this the rotors Three
The small print except 2030 40 I'll tell you how
to parent individual elements or you guys can figure it
out figure it out and tell me yourself some in
class assignment for that right So my question is that
how do you print Wendy And only 50 If you
want you can try and let me know Um anybody

English: 
got any answer Then It is easy for me The
local movie No list in this is must be in
digest So slices not to which is throwing us a
matter Right It is not ending right home OK ok
OK separately No no I just want uh okay so
zero in a square bracket Goma Then what is that
Three Right Sorry Remove the external decades Military next No

English: 
got any answer Then It is easy for me The
local movie No list in this is must be in
digest So slices not to which is throwing us a
matter Right It is not ending right home OK ok
OK separately No no I just want uh okay so
zero in a square bracket Goma Then what is that
Three Right Sorry Remove the external decades Military next No

English: 
that doesn't work Right But it's a small trick I'll
tell you Let you know Okay so as off now
they're just printing Siri's Okay I mean emptiness elements The
road to three I'll tell you how to print individual
one stone Very Okay you can But it's very rare
that normally in a list kind of a category it's
very rare that you pick up individual elements because normally
if you're creating a list that will have like one
million elements and started and it's very rare that I
say I want only the third and fifth you mention
a Ranger filaments Actually you can also do this You
can simply say for example one corland And what that
does is that if I say one and just Colon
it picks up 30 that is the first element and
gives you all the things after 30 30 40 50
60 70 I can also say to call And if
I want natural give me 40 50 60 So you
have this nice place off accessing elements within the list

English: 
that doesn't work Right But it's a small trick I'll
tell you Let you know Okay so as off now
they're just printing Siri's Okay I mean emptiness elements The
road to three I'll tell you how to print individual
one stone Very Okay you can But it's very rare
that normally in a list kind of a category it's
very rare that you pick up individual elements because normally
if you're creating a list that will have like one
million elements and started and it's very rare that I
say I want only the third and fifth you mention
a Ranger filaments Actually you can also do this You
can simply say for example one corland And what that
does is that if I say one and just Colon
it picks up 30 that is the first element and
gives you all the things after 30 30 40 50
60 70 I can also say to call And if
I want natural give me 40 50 60 So you
have this nice place off accessing elements within the list

English: 
whichever way you want But I So that is we
will look at least more Don't worry There is a
simple example off a list on here or so we
have created a list Now my question Don't run this
Okay My question to you is that will this actually
work So here I am saying X equals toe one
Then be So what is the specialty of this list
It is a friend Does it actually work No Yes
I don't I'm just asking Yeah it works so but
list can contain different type of elements Okay but I
really We keep similar type of elements Now apart from
the list thing in search sell below Another thing which
is very interesting is a dictionary So I can say
something like big equal to And how do you ah
create a dictionary is with a curly braces So whenever

English: 
whichever way you want But I So that is we
will look at least more Don't worry There is a
simple example off a list on here or so we
have created a list Now my question Don't run this
Okay My question to you is that will this actually
work So here I am saying X equals toe one
Then be So what is the specialty of this list
It is a friend Does it actually work No Yes
I don't I'm just asking Yeah it works so but
list can contain different type of elements Okay but I
really We keep similar type of elements Now apart from
the list thing in search sell below Another thing which
is very interesting is a dictionary So I can say
something like big equal to And how do you ah
create a dictionary is with a curly braces So whenever

English: 
you see a curly braces that is a dictionary Okay
And what is a dictionary or dictionary is a collection
off key value pairs for example I can say it's
cool I'm a trainer Right on Ben You guys right
You are you guys I don't know You are watched
participants right Sonny on I can also mix them For
example I can have another key For example there's a
kick or three and I can say this is something
like my number So basically what is a dictionary The
idea is that you represented using curly braces First point
on it always has a key and value structure For
example Here Raghu is the key on trainer is a

English: 
you see a curly braces that is a dictionary Okay
And what is a dictionary or dictionary is a collection
off key value pairs for example I can say it's
cool I'm a trainer Right on Ben You guys right
You are you guys I don't know You are watched
participants right Sonny on I can also mix them For
example I can have another key For example there's a
kick or three and I can say this is something
like my number So basically what is a dictionary The
idea is that you represented using curly braces First point
on it always has a key and value structure For
example Here Raghu is the key on trainer is a

English: 
value again You is the key and participants is the
value Three is the key My number is the value
Now inside a dictionary there is no strict rule as
toe What should be the key What should be the
value that's for you to define You can have strings
Who can have indigenous inside a dictionary But one thing
is that when you want to access the elements off
a dictionary normally analyst uses the road 1st 2nd here
you will use the keys to access the elements For
example You want something you can simply So So what
is the name of the dictionary Ah the a c
t Right So the dictionary name is the A C
T and I can simply say something like this So
if I want to get say what is the value
off Raghu I can simply say Call the key Rocco
and you will get trainer or or any key for
that matter So I can say Give me the value

English: 
value again You is the key and participants is the
value Three is the key My number is the value
Now inside a dictionary there is no strict rule as
toe What should be the key What should be the
value that's for you to define You can have strings
Who can have indigenous inside a dictionary But one thing
is that when you want to access the elements off
a dictionary normally analyst uses the road 1st 2nd here
you will use the keys to access the elements For
example You want something you can simply So So what
is the name of the dictionary Ah the a c
t Right So the dictionary name is the A C
T and I can simply say something like this So
if I want to get say what is the value
off Raghu I can simply say Call the key Rocco
and you will get trainer or or any key for
that matter So I can say Give me the value

English: 
for three and you will get my number So basically
this is used like a lookup table sort of like
a hash table where you have six or number off
key value pairs You can just call the key and
you will get values You can also print things like
this For example I can save dicked dart keys Sodi
Yeah So if I just ask for the keys it's
gonna give me all the keys What are there in
the key You can also You should also be able
to do our dicked dot rat juice Sorry No more
of this missing Yeah So basically if you want if
you get a dictionary and you just want to know
where the keys are values in so that you can
discolor darkies and dark values it's gonna give you the
keys and volumes and then you can access which other

English: 
for three and you will get my number So basically
this is used like a lookup table sort of like
a hash table where you have six or number off
key value pairs You can just call the key and
you will get values You can also print things like
this For example I can save dicked dart keys Sodi
Yeah So if I just ask for the keys it's
gonna give me all the keys What are there in
the key You can also You should also be able
to do our dicked dot rat juice Sorry No more
of this missing Yeah So basically if you want if
you get a dictionary and you just want to know
where the keys are values in so that you can
discolor darkies and dark values it's gonna give you the
keys and volumes and then you can access which other

English: 
values using the key Now individually you can go like
this But if you're interested in accessing arrange off he's
like I want 100 keys Then I really you should
go for uh four loop or something So typically if
you wantto I trade through a dictionary and get different
different values We use a four loop I'll show you
So usually you say that four elements and then one
by one I want all the values or something like
that s so that's how you look at a dictionary
Now we are not really dealing with object oriented programming
Share So having affair coming from the hoops background object
oriented thing Because why I'm talking about this Is that
usually in your data science or animal side we don't
normally deal with object oriented concepts But by Thorne is
a language that supports object oriented programming It isn't hopes
language It's anomaly you have an object on Then you
will have methods And after your soul the object Right
So that is what When I'm saying this these are

English: 
values using the key Now individually you can go like
this But if you're interested in accessing arrange off he's
like I want 100 keys Then I really you should
go for uh four loop or something So typically if
you wantto I trade through a dictionary and get different
different values We use a four loop I'll show you
So usually you say that four elements and then one
by one I want all the values or something like
that s so that's how you look at a dictionary
Now we are not really dealing with object oriented programming
Share So having affair coming from the hoops background object
oriented thing Because why I'm talking about this Is that
usually in your data science or animal side we don't
normally deal with object oriented concepts But by Thorne is
a language that supports object oriented programming It isn't hopes
language It's anomaly you have an object on Then you
will have methods And after your soul the object Right
So that is what When I'm saying this these are

English: 
functions on the object actually Right I'm saying that Biggs
brackets right So basically you can have function calls and
then get the value whatever you want So they start
defined on the A dictionary actually so we will see
them more so directly You will not be dealing with
classes or objects A large and python But you may
sometimes use some off the built in matters like this
right now Another interesting thing that you can do this
Um let me just in search a cell below so
I can say the same thing right So I can
have our dictionary where you know I can have the
keys like this So let's say I'm picking up you
guys Okay So you had a student okay On you
were working in IBM right You were working in IBM

English: 
functions on the object actually Right I'm saying that Biggs
brackets right So basically you can have function calls and
then get the value whatever you want So they start
defined on the A dictionary actually so we will see
them more so directly You will not be dealing with
classes or objects A large and python But you may
sometimes use some off the built in matters like this
right now Another interesting thing that you can do this
Um let me just in search a cell below so
I can say the same thing right So I can
have our dictionary where you know I can have the
keys like this So let's say I'm picking up you
guys Okay So you had a student okay On you
were working in IBM right You were working in IBM

English: 
and then there is another strange This underscores too On
this student WAAS working in multiple companies So they say
in fee Uh I don't know The ad and uh
Silicon Valley off India I gave me some company names
in Fiji Then what I don't lean fear maybe in
Miami Like this Uh the pro No Be more creative
right Give me something more So what I did here
is that I created a dictionary and there is a
key and value the value can be anything So in
this example the value is a list right The value
is a list and I can simply ask for students
and then I can say give me for S one
s one Right And I should get IBM right But

English: 
and then there is another strange This underscores too On
this student WAAS working in multiple companies So they say
in fee Uh I don't know The ad and uh
Silicon Valley off India I gave me some company names
in Fiji Then what I don't lean fear maybe in
Miami Like this Uh the pro No Be more creative
right Give me something more So what I did here
is that I created a dictionary and there is a
key and value the value can be anything So in
this example the value is a list right The value
is a list and I can simply ask for students
and then I can say give me for S one
s one Right And I should get IBM right But

English: 
if I'm asking for a student too I should get
in fi ve pro Google and all right now Tell
me one thing What if I want to know the
So these are in order For example a second student
has first joined in forces but I'm orderto a pro
by fluke and er Google Okay I don't know How
do you get from water from the protest Will but
yeah happened So So I want to know what does
a stake in company he wasn't So when I say
s two I'm getting all this I don't want this
I just want to know before what Will you do
it Right So you can actually saw this is the
way to access a list right So I can just
say that I want the key within the key You
know I just want So this will return the value
within the value I want this second element which gives
you a pro right Or like this if you want

English: 
if I'm asking for a student too I should get
in fi ve pro Google and all right now Tell
me one thing What if I want to know the
So these are in order For example a second student
has first joined in forces but I'm orderto a pro
by fluke and er Google Okay I don't know How
do you get from water from the protest Will but
yeah happened So So I want to know what does
a stake in company he wasn't So when I say
s two I'm getting all this I don't want this
I just want to know before what Will you do
it Right So you can actually saw this is the
way to access a list right So I can just
say that I want the key within the key You
know I just want So this will return the value
within the value I want this second element which gives
you a pro right Or like this if you want

English: 
only Google you can do like this So these kind
off operations are possible on the same thing I have
written here Right Uh we will look at them later
Okay So that is also one more thing called a
pupil So this is called a pupil can you see
How do you define a pupil is within the bracket
Normal bracket All right s So what is a major
difference between a list and pupil Is that list is
mutable But you police immutable for example Eso This is
two people So let's say my list equal to 12345
Right So in the er I fight or not Sorry
in the Jupiter notebook If you want to understand what
are the operations you can do on a particular item
You can do one thing For example I have a
list Now I can say my list and put a

English: 
only Google you can do like this So these kind
off operations are possible on the same thing I have
written here Right Uh we will look at them later
Okay So that is also one more thing called a
pupil So this is called a pupil can you see
How do you define a pupil is within the bracket
Normal bracket All right s So what is a major
difference between a list and pupil Is that list is
mutable But you police immutable for example Eso This is
two people So let's say my list equal to 12345
Right So in the er I fight or not Sorry
in the Jupiter notebook If you want to understand what
are the operations you can do on a particular item
You can do one thing For example I have a
list Now I can say my list and put a

English: 
Dodge and put a tab So you can just like
my list Put a dot and then put a tab
It'll show you a list off arguments you can pass
so you can always see there is something called happened
so I can actually lower upend Andi Let's say seven
So what happens here This if I'd want my list
Meaning lists are immutable You can add elements You can
even remove elements There is a method called pop and
there is a method called removed Using that you can
just pull the removed elements can hard elements But if
I look at this triple which I created I say
bu bi or that underscore e x dart I don't
see a matter Karl happened sort Pupils are totally immutable
Once you've created you cannot modify that So if your

English: 
Dodge and put a tab So you can just like
my list Put a dot and then put a tab
It'll show you a list off arguments you can pass
so you can always see there is something called happened
so I can actually lower upend Andi Let's say seven
So what happens here This if I'd want my list
Meaning lists are immutable You can add elements You can
even remove elements There is a method called pop and
there is a method called removed Using that you can
just pull the removed elements can hard elements But if
I look at this triple which I created I say
bu bi or that underscore e x dart I don't
see a matter Karl happened sort Pupils are totally immutable
Once you've created you cannot modify that So if your

English: 
requirement it's like that then probably keep your day diner
to perform it That's up to you to decide Okay
so that's the difference between a pupil and uh list
Actually son mutable pupils are notch by the way Ah
Now one more interesting thing Okay I want to talk
a little bit about the notebook actually Is that here
You have this new notebook and all which you should
know I really And you can actually save this No
notebook You can sit down Lord as Northbrook So if
you have added some lines you did something You want
to save it You say down Lord as Northbrook file
and then it can upload again back to Jupiter right
You can rename it one more thing Is that if
I have this line so normally what happens is that
if I type anything here 1/4 to 5 it will
execute it now I don't want it to execute I

English: 
requirement it's like that then probably keep your day diner
to perform it That's up to you to decide Okay
so that's the difference between a pupil and uh list
Actually son mutable pupils are notch by the way Ah
Now one more interesting thing Okay I want to talk
a little bit about the notebook actually Is that here
You have this new notebook and all which you should
know I really And you can actually save this No
notebook You can sit down Lord as Northbrook So if
you have added some lines you did something You want
to save it You say down Lord as Northbrook file
and then it can upload again back to Jupiter right
You can rename it one more thing Is that if
I have this line so normally what happens is that
if I type anything here 1/4 to 5 it will
execute it now I don't want it to execute I

English: 
want like a heading So what I can do I
can just type something this this door best by Thorn
on I can just select this cell on their ihsaa
cell type What is it Sell your cell type I
can say marked down So if I keep it us
marked down it's just you know pretend it And you
can always have this hash option for example I can
put the hash on that will increase the phone No
So this is like and just make it bigger And
if you'd like to hash this will be the second
heading Third heading like that you can have very nice
representation So always remember this because sometimes what I have
seen people will mistakenly make us sell less smart down
Then it did not execute the court Whatever you're typing
just wanna print whatever you're typing right So you can
just go to this cell type and say whether it

English: 
want like a heading So what I can do I
can just type something this this door best by Thorn
on I can just select this cell on their ihsaa
cell type What is it Sell your cell type I
can say marked down So if I keep it us
marked down it's just you know pretend it And you
can always have this hash option for example I can
put the hash on that will increase the phone No
So this is like and just make it bigger And
if you'd like to hash this will be the second
heading Third heading like that you can have very nice
representation So always remember this because sometimes what I have
seen people will mistakenly make us sell less smart down
Then it did not execute the court Whatever you're typing
just wanna print whatever you're typing right So you can
just go to this cell type and say whether it

English: 
is a court mile down there is also no convert
Don't bother about it But make sure this court if
you wantto run it actually night Um if you go
to this help menu You can actually see what are
installed So that ISS Nam pi ce ai pi Mac
lordly sim pai and pandas There is also library for
simp I will talk later but since you're seeing the
help off these things that means these levels are already
there I think ideally you should also see the similar
things You can get the help about them But in
case let's say you want to install a library in
future So they said there's a new library Which game
you want to install from the notebook The ideal way
off doing it ISS this command B I pee in
stall and then you can just mention what you want
to install So if you put an exclamatory mark at
the beginning it will run from the command line Right
Soapy I P's are tool which we use for vital

English: 
is a court mile down there is also no convert
Don't bother about it But make sure this court if
you wantto run it actually night Um if you go
to this help menu You can actually see what are
installed So that ISS Nam pi ce ai pi Mac
lordly sim pai and pandas There is also library for
simp I will talk later but since you're seeing the
help off these things that means these levels are already
there I think ideally you should also see the similar
things You can get the help about them But in
case let's say you want to install a library in
future So they said there's a new library Which game
you want to install from the notebook The ideal way
off doing it ISS this command B I pee in
stall and then you can just mention what you want
to install So if you put an exclamatory mark at
the beginning it will run from the command line Right
Soapy I P's are tool which we use for vital

English: 
installations I'm just saying that I just want to install
banned us If I run this well panda is already
installed It's gonna throw another saying that now the library
already exist where you can see a star here which
means this sale is now executing still running So when
you see a star here That's Ellis getting executor So
it stays Requirement Already satisfied Pandas is already dead But
in future so one way s p i p install
pandas Another ways Conda construction and us So either you
say p i p install or you can say Gandhi
in stores So since it is part of an anaconda
installer is called conduct and 2nd 9 story will instruct
S O If there is a new library you can
just google how things start Say a busy in now
Anaconda Exactly Man will come Copy place certainly started but

English: 
installations I'm just saying that I just want to install
banned us If I run this well panda is already
installed It's gonna throw another saying that now the library
already exist where you can see a star here which
means this sale is now executing still running So when
you see a star here That's Ellis getting executor So
it stays Requirement Already satisfied Pandas is already dead But
in future so one way s p i p install
pandas Another ways Conda construction and us So either you
say p i p install or you can say Gandhi
in stores So since it is part of an anaconda
installer is called conduct and 2nd 9 story will instruct
S O If there is a new library you can
just google how things start Say a busy in now
Anaconda Exactly Man will come Copy place certainly started but

English: 
easy So any questions so far anyway is already in
store Last village it's gonna throw another This star will
be really useful when you actually build ml mortal Sandra
Because when you're building machine learning mortars what it will
do is that it'll take your data on then do
something called iterations on the later really or data Then
I treat multiple times so that sometimes might take some
time So you can actually say that of your court
is executing You needto wait for sometime right And that
right now one of the problems that we're facing so
I'm just sharing I mean some of the probably not
exactly a problem but from my experience So we were
always moving ahead with new technology right So in the
older days the problem was that the hardware was a
problem So I don't know what to do with the
hard way So that is when you started getting this
cloud and all as an option Now everything is have

English: 
easy So any questions so far anyway is already in
store Last village it's gonna throw another This star will
be really useful when you actually build ml mortal Sandra
Because when you're building machine learning mortars what it will
do is that it'll take your data on then do
something called iterations on the later really or data Then
I treat multiple times so that sometimes might take some
time So you can actually say that of your court
is executing You needto wait for sometime right And that
right now one of the problems that we're facing so
I'm just sharing I mean some of the probably not
exactly a problem but from my experience So we were
always moving ahead with new technology right So in the
older days the problem was that the hardware was a
problem So I don't know what to do with the
hard way So that is when you started getting this
cloud and all as an option Now everything is have

English: 
a little unclothed even your entire melt Things can be
automated in the float apart from your local Norn book
So initially when machine learning and all became very popular
we were very much losing cloud for most of this
building a male model Sanders And that was very easy
And now the challenge is we are now from Emily
We have gone to something or deep learning or a
I kind off side eso in when you go to
deep learning One of the problems that you will face
is for the hardware right For example if you're building
something on image classifications say so we're not the project
which I'm mentoring So you have this capstone projects right
So what happens when you do a capstone project You
will be a group Let's say four or five guys
and then there'll be a mentor like me who will
help you So uh currently I'm in getting a capstone
project So what This guy's certainly they have Ah CCTV

English: 
a little unclothed even your entire melt Things can be
automated in the float apart from your local Norn book
So initially when machine learning and all became very popular
we were very much losing cloud for most of this
building a male model Sanders And that was very easy
And now the challenge is we are now from Emily
We have gone to something or deep learning or a
I kind off side eso in when you go to
deep learning One of the problems that you will face
is for the hardware right For example if you're building
something on image classifications say so we're not the project
which I'm mentoring So you have this capstone projects right
So what happens when you do a capstone project You
will be a group Let's say four or five guys
and then there'll be a mentor like me who will
help you So uh currently I'm in getting a capstone
project So what This guy's certainly they have Ah CCTV

English: 
camera footage identification That's what they're doing So they have
the majors on By looking at the image the system
should say This is simple actually described the scene It's
not like it should say there is a dog or
cat should actually see what is the content of that
So they're they're building something similar in that fashion Now
the challenge there is actually not building the model The
model and all are fine But if you are doing
things like deep learning and all you need a lot
off GP graphical processing unit That is a challenge because
GP was are very costly You know what his GP
right graphics card kind off thing So you feel using
a laptop or something It will not work because you
will have what does GB or three g be Max
So one possibility of the explored was that you can
sign of it The Google Cloud and Google Flower gives
you some credits for free So if a sign of
it Google they will give you around ₹21,000 credit for

English: 
camera footage identification That's what they're doing So they have
the majors on By looking at the image the system
should say This is simple actually described the scene It's
not like it should say there is a dog or
cat should actually see what is the content of that
So they're they're building something similar in that fashion Now
the challenge there is actually not building the model The
model and all are fine But if you are doing
things like deep learning and all you need a lot
off GP graphical processing unit That is a challenge because
GP was are very costly You know what his GP
right graphics card kind off thing So you feel using
a laptop or something It will not work because you
will have what does GB or three g be Max
So one possibility of the explored was that you can
sign of it The Google Cloud and Google Flower gives
you some credits for free So if a sign of
it Google they will give you around ₹21,000 credit for

English: 
three you can use Their service is worth ₹21,000 I
even the dad that credits ran out because these guys
need around I think 16 Gig's off GP or something
So to train the model they took one or two
days By that time the account is over So the
21% of bizarre going after three days So then why
did you do right I mean so I think the
next challenge that we're going to face is on the
GPS side Like how do you get it right off
course If you pay money will get it That's not
a big deal But you know what is an economical
way off building Ah big learning model There is a
next challenge actually right now and it is very popular
so because it is snot easy Luckily you cannot get
it the only ways from the cloud probably but they're
very costly So if you're running it by paying money
then it will be really really costly night So I
think they're still trying to find out what to do
I mean so initially they build a model Is a
test in the laptop that was working Fine But when
you are really doing a project you need a really
later Right So not like a test data So that

English: 
three you can use Their service is worth ₹21,000 I
even the dad that credits ran out because these guys
need around I think 16 Gig's off GP or something
So to train the model they took one or two
days By that time the account is over So the
21% of bizarre going after three days So then why
did you do right I mean so I think the
next challenge that we're going to face is on the
GPS side Like how do you get it right off
course If you pay money will get it That's not
a big deal But you know what is an economical
way off building Ah big learning model There is a
next challenge actually right now and it is very popular
so because it is snot easy Luckily you cannot get
it the only ways from the cloud probably but they're
very costly So if you're running it by paying money
then it will be really really costly night So I
think they're still trying to find out what to do
I mean so initially they build a model Is a
test in the laptop that was working Fine But when
you are really doing a project you need a really
later Right So not like a test data So that

English: 
time it will take more resources for you So you
and I don't know far to do I just I
deserved them You either pay or you know get some
other cloud went there or something Google is the only
living there Who is I think paying this much money
Just sign of it Amazon or something They want to
give you a rub Us nowhere Abuse has a scheme
called a free dear That's basically cheating You should file
a case against them actually for such a so Amazon
Basically the same We will give you every service for
bar near free In fact nothing will be given All
right So they will give only minimal service is for
rest level charge like GP Obey Service's and all they
charge they don't give it free Azure is also giving
some level of discount But so far what we explored
is going up there giving good amount off free money
So I mean I'm just saying so Some of the
challenges right Even when you do these kind of analytics
and Mel analytics normally you can work on this kind
of Daytona laptop like if you're having even let's say

English: 
time it will take more resources for you So you
and I don't know far to do I just I
deserved them You either pay or you know get some
other cloud went there or something Google is the only
living there Who is I think paying this much money
Just sign of it Amazon or something They want to
give you a rub Us nowhere Abuse has a scheme
called a free dear That's basically cheating You should file
a case against them actually for such a so Amazon
Basically the same We will give you every service for
bar near free In fact nothing will be given All
right So they will give only minimal service is for
rest level charge like GP Obey Service's and all they
charge they don't give it free Azure is also giving
some level of discount But so far what we explored
is going up there giving good amount off free money
So I mean I'm just saying so Some of the
challenges right Even when you do these kind of analytics
and Mel analytics normally you can work on this kind
of Daytona laptop like if you're having even let's say

English: 
a CSP file little except 10 million 20 million rose
in your laptop you can easily manipulate using data fridge
That's not a big deal But if it goes beyond
that then you may not be able to radically run
on our laps in the unit of Better Configuration mission
Sober adoption will be that you can use any cloud
er provider just to test If you're having yes you
can sew One way will be that you take the
same thing Tokyo When you're talking our distributor bay this
small challenge will be that you need to learn a
bit about it For example I can you something or
spark There's something weird about his spark about This park
is a big data processing platform I basically plain paper
on spark so Spark has the same and Mel Capability
sparks a portfolio and Mel mortars So what's part physically
do it takes Let's say a bunch of missions like
10 or 20 distribute your lord but you need to
learn certain things about spot Because for example I'm using

English: 
a CSP file little except 10 million 20 million rose
in your laptop you can easily manipulate using data fridge
That's not a big deal But if it goes beyond
that then you may not be able to radically run
on our laps in the unit of Better Configuration mission
Sober adoption will be that you can use any cloud
er provider just to test If you're having yes you
can sew One way will be that you take the
same thing Tokyo When you're talking our distributor bay this
small challenge will be that you need to learn a
bit about it For example I can you something or
spark There's something weird about his spark about This park
is a big data processing platform I basically plain paper
on spark so Spark has the same and Mel Capability
sparks a portfolio and Mel mortars So what's part physically
do it takes Let's say a bunch of missions like
10 or 20 distribute your lord but you need to
learn certain things about spot Because for example I'm using

English: 
here Number right number doesn't work in spark You have
a similar later or or revenge is using pandas Pandas
as special isn't work So they have a similar one
called data frames Okay so there is some different So
you might have a small learning curve my princesa End
of the racing like you're building animal moral ml moral
Everything will be saying But this exploring area part will
be some changes because Sparky is having its own data
types to deal with not the regular you know Warren
Specie So that is one challenge we see sometimes And
you build a model and you want to be distributed
way You need to slightly change the area Part rest
Everything will be perfectly fine Yeah So some of the
people are actually ah exploding those distributor computing blood from

English: 
here Number right number doesn't work in spark You have
a similar later or or revenge is using pandas Pandas
as special isn't work So they have a similar one
called data frames Okay so there is some different So
you might have a small learning curve my princesa End
of the racing like you're building animal moral ml moral
Everything will be saying But this exploring area part will
be some changes because Sparky is having its own data
types to deal with not the regular you know Warren
Specie So that is one challenge we see sometimes And
you build a model and you want to be distributed
way You need to slightly change the area Part rest
Everything will be perfectly fine Yeah So some of the
people are actually ah exploding those distributor computing blood from

English: 
Cecil So I mean just some of the parts I
probably should be interesting if you go for that Not
immediately Like so Now what I want you to do
is so now we will just start working with pandas
So what I want you to do with Can you
see this light There is a slight cold Read the
data Not a slight There's a box cell right I
want you to run this life But don't run this
numb biting so you can just come in this right
now We don't need this So basically you need to
run import pandas SPD But we need the data right
So what do you need to do Go to the
files that you downloaded it There is an excel file
called uber Drives Can you see Can you open that

English: 
Cecil So I mean just some of the parts I
probably should be interesting if you go for that Not
immediately Like so Now what I want you to do
is so now we will just start working with pandas
So what I want you to do with Can you
see this light There is a slight cold Read the
data Not a slight There's a box cell right I
want you to run this life But don't run this
numb biting so you can just come in this right
now We don't need this So basically you need to
run import pandas SPD But we need the data right
So what do you need to do Go to the
files that you downloaded it There is an excel file
called uber Drives Can you see Can you open that

English: 
the over rice I will I will never open from
my side Yes so I just opened it Let me
just I'll quickly explain what this is So basically this
is an actual data set which we have collector So
this is regarding the uber crypt data So how do
you explain this data So there is a star date
and nd s o star date is when the report
starter and end it is when it was in there
Most of the cases of the same date same day
trips Then there is a category that's always business Then
there is a starting point off the trip for the
uber driver So these are all cities in us right
New York four Pierce and our And then there is
a stopping place where the trip ended and the number
off miles cover And then there is also purpose off

English: 
the over rice I will I will never open from
my side Yes so I just opened it Let me
just I'll quickly explain what this is So basically this
is an actual data set which we have collector So
this is regarding the uber crypt data So how do
you explain this data So there is a star date
and nd s o star date is when the report
starter and end it is when it was in there
Most of the cases of the same date same day
trips Then there is a category that's always business Then
there is a starting point off the trip for the
uber driver So these are all cities in us right
New York four Pierce and our And then there is
a stopping place where the trip ended and the number
off miles cover And then there is also purpose off

English: 
the trip So this is how their data looks like
And if you select any of the column you have
roughly around 1000 plus lines off data So we were
just interested in analyzing this data We just want to
ask some interesting questions to this data on We want
to do that using dependents murder Right Um one thing
that I would suggest you do is that just reading
this file So because it's called the uber Bride who's
won just remove this one discarded as overdrive studios and
16 I don't like it That is a warning actually
when you can keep it But typing that will be
problem right And then what do you want to go
Go to your notebook and in the notebook you need
to upload it So go to the home folder of
Jupiter say of the Lord and upload over grace open

English: 
the trip So this is how their data looks like
And if you select any of the column you have
roughly around 1000 plus lines off data So we were
just interested in analyzing this data We just want to
ask some interesting questions to this data on We want
to do that using dependents murder Right Um one thing
that I would suggest you do is that just reading
this file So because it's called the uber Bride who's
won just remove this one discarded as overdrive studios and
16 I don't like it That is a warning actually
when you can keep it But typing that will be
problem right And then what do you want to go
Go to your notebook and in the notebook you need
to upload it So go to the home folder of
Jupiter say of the Lord and upload over grace open

English: 
appeal See it will be here Can you see So
just click on the upload button cell ignoble drives click
Upload it should It should really show you on this
screen up the home page like this Andi Ah by
Thorne has a lot of ways to read their different
type of files Am I Right now they're interested in
CSP You can also real excel files on other format
selfies So for the time being will concentrate on CSC
files If you want to read a CS refile all
you need to do is that you can say so
What is this line Import banned us as baby What
do you mean by this ass beauty It's an alias
thing right There's an alley s So the library that
I'm in boarding it's banned us I'm saying that I
want to import bandas as beauty So the SS finally
asked me on a superior will refer to pandas If
you want to read the CSB you think pandas you
simply say really dot Read underscore See Yes we on

English: 
appeal See it will be here Can you see So
just click on the upload button cell ignoble drives click
Upload it should It should really show you on this
screen up the home page like this Andi Ah by
Thorne has a lot of ways to read their different
type of files Am I Right now they're interested in
CSP You can also real excel files on other format
selfies So for the time being will concentrate on CSC
files If you want to read a CS refile all
you need to do is that you can say so
What is this line Import banned us as baby What
do you mean by this ass beauty It's an alias
thing right There's an alley s So the library that
I'm in boarding it's banned us I'm saying that I
want to import bandas as beauty So the SS finally
asked me on a superior will refer to pandas If
you want to read the CSB you think pandas you
simply say really dot Read underscore See Yes we on

English: 
just give the name off the file on then if
you actually want to see the file Okay You can
simply type B f Oh I didn't run this right
Sorry Your toe first Run this right I'll run this
Them from This might take a moment polluted so d
f will be Ah you're uh file I'm in the
variable in which you are reading it I don't know
why it is taking this much time should be very
fast My PC is actually very slowly for some reason
Let me do one thing Okay I'm just you started

English: 
just give the name off the file on then if
you actually want to see the file Okay You can
simply type B f Oh I didn't run this right
Sorry Your toe first Run this right I'll run this
Them from This might take a moment polluted so d
f will be Ah you're uh file I'm in the
variable in which you are reading it I don't know
why it is taking this much time should be very
fast My PC is actually very slowly for some reason
Let me do one thing Okay I'm just you started

English: 
so I'll just say import this What are they saying
It is still start for me Are you guys able
to Ridge No Yes So can you see this So
the moment you say the f it's gonna pretended Now
the question is what exactly is this thing called A
B F DF is called a date A friend bed
The name can be anything off It can be recouped
I'm saying the data type is called a data free
What is the date offering our data offering is the
basic data structure we have inside pandas which represents your
data in the form of rows and columns So this
pretty much looks like your Excel spreadsheet And that data
structure is called a date offering So in order to
create a data fraying what I'm doing I'm just reading
the CS We file using this matter on designing tow

English: 
so I'll just say import this What are they saying
It is still start for me Are you guys able
to Ridge No Yes So can you see this So
the moment you say the f it's gonna pretended Now
the question is what exactly is this thing called A
B F DF is called a date A friend bed
The name can be anything off It can be recouped
I'm saying the data type is called a data free
What is the date offering our data offering is the
basic data structure we have inside pandas which represents your
data in the form of rows and columns So this
pretty much looks like your Excel spreadsheet And that data
structure is called a date offering So in order to
create a data fraying what I'm doing I'm just reading
the CS We file using this matter on designing tow

English: 
this variable cord the yes or deface my later train
No my data frame Right on If you simply five
The name off the data frame It should bring the
output like this so you can actually see what is
inside This Um also in python If you want to
verify the data dive off anything you can do this
you can simply say I think it should work Type
off the F Yeah So you can just say type
off DF it will say banned us core fraying the
tough times So basically this is a date offering So
pandas is actually built on top of numbers It was
built on an umpire library Actually it does not directly
use numb by The matters are different but the core
data such as are built on number They mean you
to use paint pandas Actually no umpire doesn't have any
building libraries to read Excel files Or so in nam
pie You don't have this labels this I bring this

English: 
this variable cord the yes or deface my later train
No my data frame Right on If you simply five
The name off the data frame It should bring the
output like this so you can actually see what is
inside This Um also in python If you want to
verify the data dive off anything you can do this
you can simply say I think it should work Type
off the F Yeah So you can just say type
off DF it will say banned us core fraying the
tough times So basically this is a date offering So
pandas is actually built on top of numbers It was
built on an umpire library Actually it does not directly
use numb by The matters are different but the core
data such as are built on number They mean you
to use paint pandas Actually no umpire doesn't have any
building libraries to read Excel files Or so in nam
pie You don't have this labels this I bring this

English: 
the f You have this Stardate indeed category Those other
call on her nose like that structure is not available
in the pipe So it anyway will will not be
able to read what is in the later so in
order to read I need a panda So I'm saying
that in the data friend you can actually call it
as our carla meaning that it's possible but in number
there is no way to do that It doesn't support
any labeling So now the question is that if you
simply say read underscore CSB how it is able to
you know read it like this for example this is
my call on her Doesn't accept Sorry CSB that it
is really so by the fall the same thing is
like the first tour will be considered as your column
Now what if I don't have according here Right I
get a CSU file There is no call him here
There So if you Google for this beauty dot reach
cst method there are some arguments you can pass You
can say skip a line skipped the header add a

English: 
the f You have this Stardate indeed category Those other
call on her nose like that structure is not available
in the pipe So it anyway will will not be
able to read what is in the later so in
order to read I need a panda So I'm saying
that in the data friend you can actually call it
as our carla meaning that it's possible but in number
there is no way to do that It doesn't support
any labeling So now the question is that if you
simply say read underscore CSB how it is able to
you know read it like this for example this is
my call on her Doesn't accept Sorry CSB that it
is really so by the fall the same thing is
like the first tour will be considered as your column
Now what if I don't have according here Right I
get a CSU file There is no call him here
There So if you Google for this beauty dot reach
cst method there are some arguments you can pass You
can say skip a line skipped the header add a

English: 
header or or one common problem that we have when
you do things like this is that even though they're
not very stranger number this We're always looking for data
types right So one common problem that you're going to
have is that if I read this this is fine
I have something called a star date and ended eight
So what is this This is dates right So normally
you want to do things like I want to surprise
one day from another date but I want to compare
two dates If I want to do something like that
they should be represented in their date data type Right
But the problem is that normally when it reads this
with the string I will show you how to look
into that But normally when you simply say period or
UCSB it's gonna seem to the string Everything is a
string Unless it's a some indigent This will be in
India or off Lord But these are all strings So
in this PT are not read CS team after If
you read about it in pandas I will show you
There are some arguments you can pass For example I

English: 
header or or one common problem that we have when
you do things like this is that even though they're
not very stranger number this We're always looking for data
types right So one common problem that you're going to
have is that if I read this this is fine
I have something called a star date and ended eight
So what is this This is dates right So normally
you want to do things like I want to surprise
one day from another date but I want to compare
two dates If I want to do something like that
they should be represented in their date data type Right
But the problem is that normally when it reads this
with the string I will show you how to look
into that But normally when you simply say period or
UCSB it's gonna seem to the string Everything is a
string Unless it's a some indigent This will be in
India or off Lord But these are all strings So
in this PT are not read CS team after If
you read about it in pandas I will show you
There are some arguments you can pass For example I

English: 
can say the third and fourth column Our dates please
consider the mistake Data type or skip the first line
That is not the header etcetera but as off Now
we're It's simply reading it because the hair that is
also the same one here night now I think we
will be able to see this If I do Are
the f Darch look at you You can always there
would be if dot d types What does this mean
Each columns day that I I want to know Now
whenever you see an object that is nothing but a
string there's a stream So the class is actually called
object That is what is throwing us object So the
only column it is identifying ISS florid 64 That is
a mile Scarlett That is okay with me But my
star date and ended this object or string I don't
want it to be string I wanted to be late
All right so So there are ways to convert it

English: 
can say the third and fourth column Our dates please
consider the mistake Data type or skip the first line
That is not the header etcetera but as off Now
we're It's simply reading it because the hair that is
also the same one here night now I think we
will be able to see this If I do Are
the f Darch look at you You can always there
would be if dot d types What does this mean
Each columns day that I I want to know Now
whenever you see an object that is nothing but a
string there's a stream So the class is actually called
object That is what is throwing us object So the
only column it is identifying ISS florid 64 That is
a mile Scarlett That is okay with me But my
star date and ended this object or string I don't
want it to be string I wanted to be late
All right so So there are ways to convert it

English: 
out for you No no this is an alias for
burned us So panda is my library I'm just saying
that I don't wantto type pandas don't really see us
They'll stampede or sees Ali s ing I can also
say import pandas Ezra Gu and I can say that
good heart rate sees you You can you can You
can You can simply say import pandas and pandas underscoring
but these are some off the common How are you
You say things that we're doing on when you're important
number You'd always say important empires Tempe There's a standard
So even if you leave production course he will say
NPR dot NPR dot Because they could have a border
that's empty normally right now another point This which is
good if I do this from pandas I mean import
pandas as speedy or not a drawback is that this
will import the whole pandas library Maybe I don't want

English: 
out for you No no this is an alias for
burned us So panda is my library I'm just saying
that I don't wantto type pandas don't really see us
They'll stampede or sees Ali s ing I can also
say import pandas Ezra Gu and I can say that
good heart rate sees you You can you can You
can You can simply say import pandas and pandas underscoring
but these are some off the common How are you
You say things that we're doing on when you're important
number You'd always say important empires Tempe There's a standard
So even if you leave production course he will say
NPR dot NPR dot Because they could have a border
that's empty normally right now another point This which is
good if I do this from pandas I mean import
pandas as speedy or not a drawback is that this
will import the whole pandas library Maybe I don't want

English: 
that Armand All the functions I want only selected things
So you can say from band as import only selected
for inciting Haci from pandas Import read on this force
is if I do this by the problems only this
will work I can't do anything else No no this
is just This is not a book She'd This is
about North book So this is just so are these
imports statements I'm running here they will be running You
sink a man lying behind the scene One more thing
is that what I did is that this uber driver
CS me I uploaded in the this thing notebook right
And then I say I read it So right now
this is in my directory on the original file Doesn't
get changed the original file because that is a good
practice I have ah CSP file on If I directly
read it from where it is existing on I lose
a manipulation then what will happen My origin and file
gets altered So all these changes what I'm doing it

English: 
that Armand All the functions I want only selected things
So you can say from band as import only selected
for inciting Haci from pandas Import read on this force
is if I do this by the problems only this
will work I can't do anything else No no this
is just This is not a book She'd This is
about North book So this is just so are these
imports statements I'm running here they will be running You
sink a man lying behind the scene One more thing
is that what I did is that this uber driver
CS me I uploaded in the this thing notebook right
And then I say I read it So right now
this is in my directory on the original file Doesn't
get changed the original file because that is a good
practice I have ah CSP file on If I directly
read it from where it is existing on I lose
a manipulation then what will happen My origin and file
gets altered So all these changes what I'm doing it

English: 
is not going to affect my original five So you
could have downloaded somewhere So this Philip Lord it's its
own workspace tonight and whatever and And if I want
there is a matter called a really dot to see
a sweetie So if I have this data frame I
created this did some manipulation I want to save it
back I can say period to see us me back
to the CS That's what's up So this point is
very important because when you look at the data types
this diet is subject this guy's object That means my
dates are actually string I don't want string I wonder
Date later time I will show you how to convert
it And it's a very common requirement because we have
examples where you know you're getting sensor data in certain
interest on the sensor data will have a time stamp
card It was every time in their abilities sending the
later on This will be in the UNIX time Stember
format which nobody can understand Like it'll have milliseconds microseconds

English: 
is not going to affect my original five So you
could have downloaded somewhere So this Philip Lord it's its
own workspace tonight and whatever and And if I want
there is a matter called a really dot to see
a sweetie So if I have this data frame I
created this did some manipulation I want to save it
back I can say period to see us me back
to the CS That's what's up So this point is
very important because when you look at the data types
this diet is subject this guy's object That means my
dates are actually string I don't want string I wonder
Date later time I will show you how to convert
it And it's a very common requirement because we have
examples where you know you're getting sensor data in certain
interest on the sensor data will have a time stamp
card It was every time in their abilities sending the
later on This will be in the UNIX time Stember
format which nobody can understand Like it'll have milliseconds microseconds

English: 
nanoseconds on date and time So So what will happen
then You really test a p d r dot CS
three or anything It'll say there's a string All right
so then you have all string values You can't do
any manipulation So ideally you should change that into a
date Data I will show you how to do that
But that's a very common thing that we do And
one thing to confuse you very much ISS Okay so
this is really confusing if I just d f my
study You see this right That is one thing which
is confusing here Can you tell me what is confusing
No confusing no No no The point is it has
something called a row index This 0123 This is very
confusing Normally in excel you don't have this You have
it but you don't really care But in pandas is
very important And this is one thing which confuses people
are large because if I want to access the data

English: 
nanoseconds on date and time So So what will happen
then You really test a p d r dot CS
three or anything It'll say there's a string All right
so then you have all string values You can't do
any manipulation So ideally you should change that into a
date Data I will show you how to do that
But that's a very common thing that we do And
one thing to confuse you very much ISS Okay so
this is really confusing if I just d f my
study You see this right That is one thing which
is confusing here Can you tell me what is confusing
No confusing no No no The point is it has
something called a row index This 0123 This is very
confusing Normally in excel you don't have this You have
it but you don't really care But in pandas is
very important And this is one thing which confuses people
are large because if I want to access the data

English: 
I can say call on vice or for always And
whenever there's a row vice I have to use these
numbers and one way to do this is that so
many red by deported out of these values right I
didn't specify one day that I keep it like this
Another ways that I can define my own index I
can't say I run 10123 I'll take whatever I want
You keep it here and then store it That is
also possible I'll show you in the upcoming sessions but
this is something which confuses people And even though we
call this as a column it is not a column
So we say this is a column in our normal
terms were saying that there are rows and columns This
is not a colon This is called a series S
E R E s Siri's Siri's is a later So
basically a data frame is nothing but a collection off
series There's one series two series three cities four cities
That is why I eat serious hassle later type So

English: 
I can say call on vice or for always And
whenever there's a row vice I have to use these
numbers and one way to do this is that so
many red by deported out of these values right I
didn't specify one day that I keep it like this
Another ways that I can define my own index I
can't say I run 10123 I'll take whatever I want
You keep it here and then store it That is
also possible I'll show you in the upcoming sessions but
this is something which confuses people And even though we
call this as a column it is not a column
So we say this is a column in our normal
terms were saying that there are rows and columns This
is not a colon This is called a series S
E R E s Siri's Siri's is a later So
basically a data frame is nothing but a collection off
series There's one series two series three cities four cities
That is why I eat serious hassle later type So

English: 
in simple terms So you'll say that you read us
the yes very file CSP file has seven columns That's
what you say But in reality when you look at
the data types huh this is a date a frame
Our data frame is made up off my different cities
Each one is called the CDs Actually you can see
the data and I've actually off the series We did
any types on each column It was saying What It's
string our object So that's called a CDs actually and
in some off the classes I have seen people discussing
how to create a series from scratch But I don't
think that's not really important because when you start working
in production it is very rare You create your own
data you'll get it from somewhere that look I'm an
ex loc issue or something I don't think that you
will create your own data by typing and then creating
But that is also four Simplify one man who they
can create a tough thing I can just feel in
these columns and creator later friend s o b read
it right That's what we have done OK so one
more thing is that when you simply say d f
it's spending the whole date offering If I have like

English: 
in simple terms So you'll say that you read us
the yes very file CSP file has seven columns That's
what you say But in reality when you look at
the data types huh this is a date a frame
Our data frame is made up off my different cities
Each one is called the CDs Actually you can see
the data and I've actually off the series We did
any types on each column It was saying What It's
string our object So that's called a CDs actually and
in some off the classes I have seen people discussing
how to create a series from scratch But I don't
think that's not really important because when you start working
in production it is very rare You create your own
data you'll get it from somewhere that look I'm an
ex loc issue or something I don't think that you
will create your own data by typing and then creating
But that is also four Simplify one man who they
can create a tough thing I can just feel in
these columns and creator later friend s o b read
it right That's what we have done OK so one
more thing is that when you simply say d f
it's spending the whole date offering If I have like

English: 
one million lines it's not really a good idea So
you can always say the f dot head etc Eddie
this is going to give you the first filings That's
easy tonight because you just want tohave a sample How
the how the data looks like And one interesting thing
that you can do in your notebook Is that so
This head is a function that we're calling if you
want to understand what is head doing You keep the
mouse cursor inside this head and press shift tab Why
did say it is saying the f dot head and
equal to five That means the number off Rosa five
If I want more I can say and equal toe
tend So how did I get it Just keep your
mouth inside this press shift tab it'll give you an

English: 
one million lines it's not really a good idea So
you can always say the f dot head etc Eddie
this is going to give you the first filings That's
easy tonight because you just want tohave a sample How
the how the data looks like And one interesting thing
that you can do in your notebook Is that so
This head is a function that we're calling if you
want to understand what is head doing You keep the
mouse cursor inside this head and press shift tab Why
did say it is saying the f dot head and
equal to five That means the number off Rosa five
If I want more I can say and equal toe
tend So how did I get it Just keep your
mouth inside this press shift tab it'll give you an

English: 
explanation off the method that you're calling Well folks in
some cases in some cases very complex functions will not
give you the entire detailed explanation therefore that you wonder
to look into the documentation But sometimes it is handy
So always do a head and always do a shape
Another one is a shape What is the shape it
will tell you How many rows and how many columns
are there Now send one for basics rose and then
seven columns This is really helpful bitters You will be
doing a lot of filtering manipulation and then you want
to know how my data looks like How many rows
I read harmony So always do a shape very important
orders to a head in common data manipulation Right So
shape is another method you can use Yes So we
were able to get the later right now one off
the things Like I said there's a problem is with
the time that we have right So what we can
do is that we can actually um you know convert

English: 
explanation off the method that you're calling Well folks in
some cases in some cases very complex functions will not
give you the entire detailed explanation therefore that you wonder
to look into the documentation But sometimes it is handy
So always do a head and always do a shape
Another one is a shape What is the shape it
will tell you How many rows and how many columns
are there Now send one for basics rose and then
seven columns This is really helpful bitters You will be
doing a lot of filtering manipulation and then you want
to know how my data looks like How many rows
I read harmony So always do a shape very important
orders to a head in common data manipulation Right So
shape is another method you can use Yes So we
were able to get the later right now one off
the things Like I said there's a problem is with
the time that we have right So what we can
do is that we can actually um you know convert

English: 
this star date on Indeed these things But before we
do that let's have a look at its already We
did ahead than shape You can also do what ails
which I'm not really interested But one thing you can
see from the tail is the last room in the
last row This is actually a some off All the
value like this is miles So they have added or
the values And what is this N A and this
n n is sort off like the official junk value
in banned us It's like No it is not know
the name stands for not any number So whenever our
data frame doesn't have anything to Philly or if it
reads something which it doesn't understand it it is not
greater That's not there is nothing called Nigel actually in
our data frame in start off now you can say

English: 
this star date on Indeed these things But before we
do that let's have a look at its already We
did ahead than shape You can also do what ails
which I'm not really interested But one thing you can
see from the tail is the last room in the
last row This is actually a some off All the
value like this is miles So they have added or
the values And what is this N A and this
n n is sort off like the official junk value
in banned us It's like No it is not know
the name stands for not any number So whenever our
data frame doesn't have anything to Philly or if it
reads something which it doesn't understand it it is not
greater That's not there is nothing called Nigel actually in
our data frame in start off now you can say

English: 
anything Yes So the use for use cases will be
Sometimes when you read the data that will be some
junk character which Brenda's is not able to understand On
the Jenny character can be anything It will be one
character So all those jen characters cominat commonly glittery doesn't
name Now I can see it's electorally man Replace everything
with something say one north grow or even the mean
or deleted something like that So it's officially usedto remove
this kind of junk values Why you're seeing it here
Because normally in a data frame it has a fixer
a role corland structure Everything should be filled I really
right So in the last I'm not able to add
all these things It just simply feel it within and
values Here you can see only this fearless attitude right
You have 1000 or 12,000 something right Some value it
is I'll show you Yeah so we'll just look into
that But before that I just want to show you
one small example So have a look at here Uh

English: 
anything Yes So the use for use cases will be
Sometimes when you read the data that will be some
junk character which Brenda's is not able to understand On
the Jenny character can be anything It will be one
character So all those jen characters cominat commonly glittery doesn't
name Now I can see it's electorally man Replace everything
with something say one north grow or even the mean
or deleted something like that So it's officially usedto remove
this kind of junk values Why you're seeing it here
Because normally in a data frame it has a fixer
a role corland structure Everything should be filled I really
right So in the last I'm not able to add
all these things It just simply feel it within and
values Here you can see only this fearless attitude right
You have 1000 or 12,000 something right Some value it
is I'll show you Yeah so we'll just look into
that But before that I just want to show you
one small example So have a look at here Uh

English: 
so this is something which um maybe interesting because what
I'm doing here is that there is a method called
three D door date offering What this allows you to
do is to create our data offering from ur own
definition So normally you will really CSP That's a different
thing So like know what I'm saying That I'm creating
our date offering myself And if I look at the
data frame Oh sorry I should run this first It
looks like this right So how I have created a
data frame This is a dictionary right What is this
This is a dictionary on in the dictionary What you
have you have key value Prayer is the key B
is the key Sees the key So if you pass
a dictionary the keys will become the column names The
values will become what Our values who have on the
index row indexes anyways over in tow All right so
it created a data frame like this on now The

English: 
so this is something which um maybe interesting because what
I'm doing here is that there is a method called
three D door date offering What this allows you to
do is to create our data offering from ur own
definition So normally you will really CSP That's a different
thing So like know what I'm saying That I'm creating
our date offering myself And if I look at the
data frame Oh sorry I should run this first It
looks like this right So how I have created a
data frame This is a dictionary right What is this
This is a dictionary on in the dictionary What you
have you have key value Prayer is the key B
is the key Sees the key So if you pass
a dictionary the keys will become the column names The
values will become what Our values who have on the
index row indexes anyways over in tow All right so
it created a data frame like this on now The

English: 
problem is if I look at the data types again
I have the same problem because a is I don't
mind It's a string 1234 Beat B is indigent That's
also fine with me But see for me is strength
But see is actually their date right But it has
already Tessa strength So what I want to go I
just want to convert that into a date Data Right
now there are multiple things you can do For example
that method is actually this score beauty Darch Two date
time So this is actually the method and you can
say something like 2016 Uh Julian I do so There
is a building method called a two day to find

English: 
problem is if I look at the data types again
I have the same problem because a is I don't
mind It's a string 1234 Beat B is indigent That's
also fine with me But see for me is strength
But see is actually their date right But it has
already Tessa strength So what I want to go I
just want to convert that into a date Data Right
now there are multiple things you can do For example
that method is actually this score beauty Darch Two date
time So this is actually the method and you can
say something like 2016 Uh Julian I do so There
is a building method called a two day to find

English: 
and what you can do You can just pass a
string like this So I'm just passing 2016 June to
write What it did it automatically identify that year is
this Monday Six date is this and the time is
000 All right this is very important You can And
what if you wantto Passmore tipper things You can put
a list Sure 2000 too high for 16 right For
anything to 1002 iPhone No So what is that Wait

English: 
and what you can do You can just pass a
string like this So I'm just passing 2016 June to
write What it did it automatically identify that year is
this Monday Six date is this and the time is
000 All right this is very important You can And
what if you wantto Passmore tipper things You can put
a list Sure 2000 too high for 16 right For
anything to 1002 iPhone No So what is that Wait

English: 
by default What it does The format is what year
Month on deep But what if my data is not
like this There is a way to convert it to
mention the format So by default if you look at
today time it will mention that so in Python that
is our date time life buddy But you can import
once we imported inside that you can say that dot
format on my month is I will quickly do one
thing I know that I'm bitch offloading the discussion Where
is that There is one more thing by don file
Give me one minute Okay My hand down ll order
it I said only this Okay this one Sorry guys
I just extract this What I can do us I

English: 
by default What it does The format is what year
Month on deep But what if my data is not
like this There is a way to convert it to
mention the format So by default if you look at
today time it will mention that so in Python that
is our date time life buddy But you can import
once we imported inside that you can say that dot
format on my month is I will quickly do one
thing I know that I'm bitch offloading the discussion Where
is that There is one more thing by don file
Give me one minute Okay My hand down ll order
it I said only this Okay this one Sorry guys
I just extract this What I can do us I

English: 
can go here on my side Floored I can't say
there's a file called Final in this This I shared
it with you guys Okay Don't worry By the basics
this one I share it with you know already But
I'm just did the detergent in the teller Yeah So
there's a built in our date time function So if
you're particular about the date format what you need to
do you need to import this date time You can
import this daytime date and time on Then you can
do something called strip time so I can mention that
you know this is my data And the format is
like year month our date Our minute second this bacon

English: 
can go here on my side Floored I can't say
there's a file called Final in this This I shared
it with you guys Okay Don't worry By the basics
this one I share it with you know already But
I'm just did the detergent in the teller Yeah So
there's a built in our date time function So if
you're particular about the date format what you need to
do you need to import this date time You can
import this daytime date and time on Then you can
do something called strip time so I can mention that
you know this is my data And the format is
like year month our date Our minute second this bacon

English: 
mentioned So you can go well around It starts off
by the fall But if you look at this two
day time this will accept only in this format But
I can say like this right 11 Do that should
give me now What if you have multiple dates What
will you do I have four dates I want to
convert tour dates You always keep it in a list
So the advantage off list is this So whenever you
want toe keep multiple things we can keep in a
list For example I can say that this isn't a
list Oops Ah Now I can say give me one
more date Some date Ah 2020 Coma One study 1-1
So now uh hopes doesn't gun work now The D

English: 
mentioned So you can go well around It starts off
by the fall But if you look at this two
day time this will accept only in this format But
I can say like this right 11 Do that should
give me now What if you have multiple dates What
will you do I have four dates I want to
convert tour dates You always keep it in a list
So the advantage off list is this So whenever you
want toe keep multiple things we can keep in a
list For example I can say that this isn't a
list Oops Ah Now I can say give me one
more date Some date Ah 2020 Coma One study 1-1
So now uh hopes doesn't gun work now The D

English: 
papers state paying late It converted Right So if you're
having my people elements you can actually pass it as
a list and they should be able to convert If
you have a single element you can just say that
converted into that quarterback But that is not our problem
right Our problem is that we have uh what you
say Our data frame that is called them on in
this them are So let's run this very stem them
Yeah So in this time I want to convert this
See Right So how do you do that I think
I deleted it You can say them off So what
is a calling that you want to convert See you
can simply say Peary door So when you're converting this
is what you need to do Uh this is have

English: 
papers state paying late It converted Right So if you're
having my people elements you can actually pass it as
a list and they should be able to convert If
you have a single element you can just say that
converted into that quarterback But that is not our problem
right Our problem is that we have uh what you
say Our data frame that is called them on in
this them are So let's run this very stem them
Yeah So in this time I want to convert this
See Right So how do you do that I think
I deleted it You can say them off So what
is a calling that you want to convert See you
can simply say Peary door So when you're converting this
is what you need to do Uh this is have

English: 
you access a column from our data friend So you
will say Embrace my data frame I want to access
the c equal to I want to do something with
it I want to convert a daytime off this column
so this will be replaced by the SEA column So
if I do a M door day types and C
C's now daytime so any column that you have you
can just do a daytime and convert it And usually
that is a good common practice that we do many
places You have strings and you just one day family
For that it will change the original file So when
you're doing these kinds of mortification the original data frame
temple get changed Now if you do not want to
do that you sort of designed to another Our data
free men do it on That is another very confusing
concept in Pandas in Panda's there are some operations which
will change the original later fame some operation which will
not change For example if you're adding a column you
can add a column toward a tough thing if you're

English: 
you access a column from our data friend So you
will say Embrace my data frame I want to access
the c equal to I want to do something with
it I want to convert a daytime off this column
so this will be replaced by the SEA column So
if I do a M door day types and C
C's now daytime so any column that you have you
can just do a daytime and convert it And usually
that is a good common practice that we do many
places You have strings and you just one day family
For that it will change the original file So when
you're doing these kinds of mortification the original data frame
temple get changed Now if you do not want to
do that you sort of designed to another Our data
free men do it on That is another very confusing
concept in Pandas in Panda's there are some operations which
will change the original later fame some operation which will
not change For example if you're adding a column you
can add a column toward a tough thing if you're

English: 
adding a column that will change the orders in a
late offering So what will happen if I say Just
add a column My data for machines to someone but
sometimes And I'm removing a column you know there was
any different Well you're get changed So I will say
OK data offering Remove the last column that defined again
in a type date offering the column will exist So
I need to assign that to another variable and then
do it So in when we reach those respective examples
I will share you probably But in this example yes
the original data friend exchanged So the day that I
get changed actually ah now another problem That might happen
ISS If you do something like this can you guys
try this I want you to do uh what can
we do Try this Do a beauty dark No date

English: 
adding a column that will change the orders in a
late offering So what will happen if I say Just
add a column My data for machines to someone but
sometimes And I'm removing a column you know there was
any different Well you're get changed So I will say
OK data offering Remove the last column that defined again
in a type date offering the column will exist So
I need to assign that to another variable and then
do it So in when we reach those respective examples
I will share you probably But in this example yes
the original data friend exchanged So the day that I
get changed actually ah now another problem That might happen
ISS If you do something like this can you guys
try this I want you to do uh what can
we do Try this Do a beauty dark No date

English: 
time Okay convert it Ah let's say you have a
series off values this job values next day 2016 Ah
September 11 Coma ABC Very very very possible Right Very
much possible I'm going to read a column that I'm
reading a column or and manually passing the value I
want to convert into a date format The first value
is fine No problem The second value is worth So
can you turn it Obviously you cannot convert ABC toe
date right So you can go two things One thing
is that you can filter them and then say that
Okay I don't want them Another thing is that you
can add a perimeter here I forgot the name actually

English: 
time Okay convert it Ah let's say you have a
series off values this job values next day 2016 Ah
September 11 Coma ABC Very very very possible Right Very
much possible I'm going to read a column that I'm
reading a column or and manually passing the value I
want to convert into a date format The first value
is fine No problem The second value is worth So
can you turn it Obviously you cannot convert ABC toe
date right So you can go two things One thing
is that you can filter them and then say that
Okay I don't want them Another thing is that you
can add a perimeter here I forgot the name actually

English: 
and say Paris and Liz this sea or e r
See So you can just add a small argument seeing
other secret Of course what will happen is that it
will understand that you you you want to convert the
data wherever it can convert It'll convert wherever it cannot
convertible say an 80 anything It's not any time again
like God of Israel So that will be useful right
out of ice You even if you have a single
value to throw another and say that I cannot convert
Sometimes it is useful because you re time stamps and
it is not able to understand our So at that
point you can even I forgot this really simply somebody
else So sometimes this is it will not come on
top of your head So in the last life somebody
asked like How will you do it So then I
I don't remember on my top of my head But

English: 
and say Paris and Liz this sea or e r
See So you can just add a small argument seeing
other secret Of course what will happen is that it
will understand that you you you want to convert the
data wherever it can convert It'll convert wherever it cannot
convertible say an 80 anything It's not any time again
like God of Israel So that will be useful right
out of ice You even if you have a single
value to throw another and say that I cannot convert
Sometimes it is useful because you re time stamps and
it is not able to understand our So at that
point you can even I forgot this really simply somebody
else So sometimes this is it will not come on
top of your head So in the last life somebody
asked like How will you do it So then I
I don't remember on my top of my head But

English: 
I found this really layer that you use it normally
before match will be filtered before you get it But
you can do it anyway so you can add this
line in case if you wantto convert it you can
also say a beauty to numeric Okay so look at
part they're doing here Ah you have this a right
What is a is a string I can't stay apart
so I can save beauty to numeric off eh So
what will happen It will become indigent right So sometimes
you can convert from work string to indigent way have
our second water from string today train format possible And
there are some more things So I think I have
it in here So you can mention the format month
date and or if you want so that it's ah

English: 
I found this really layer that you use it normally
before match will be filtered before you get it But
you can do it anyway so you can add this
line in case if you wantto convert it you can
also say a beauty to numeric Okay so look at
part they're doing here Ah you have this a right
What is a is a string I can't stay apart
so I can save beauty to numeric off eh So
what will happen It will become indigent right So sometimes
you can convert from work string to indigent way have
our second water from string today train format possible And
there are some more things So I think I have
it in here So you can mention the format month
date and or if you want so that it's ah

English: 
you are all I have given here Issue TBS fight
on tree library day Fine So you can just open
this toe understand more about the you know daytime functionalities
that you want to use on Also see when you're
actually doing ml classes right there this will be again
repeated So don't think that right now you will learn
that is the only end of learning So if you're
having our data where you have date definitely you will
deal with it right So this is just like an
introduction There is a very useful method called that Describe
be if not describe Okay What this does probably you
can understand It will describe our date offering For example
that is start date end date category start stop How
many are there Count off them How many unique values

English: 
you are all I have given here Issue TBS fight
on tree library day Fine So you can just open
this toe understand more about the you know daytime functionalities
that you want to use on Also see when you're
actually doing ml classes right there this will be again
repeated So don't think that right now you will learn
that is the only end of learning So if you're
having our data where you have date definitely you will
deal with it right So this is just like an
introduction There is a very useful method called that Describe
be if not describe Okay What this does probably you
can understand It will describe our date offering For example
that is start date end date category start stop How
many are there Count off them How many unique values

English: 
are there Where is a talk value The frequency means
standard deviation Minimum This is a 1,000,000 kind off lift
off the value for the value of 75% its value
and the max So this will be useful up If
you want to get a look at your data set
what is a common column Values wherever it is not
applicable little say in and values right So some of
them that is no mean 1,000,000 releases a name Other
places it is actually going to display them So the
describe method is very useful If you want to get
a idea about your data and you can see include
our or you can say include only the columns that
you want There is also an info right in four
We will look at later Huh On another thing that
people usually want to do So right now we have

English: 
are there Where is a talk value The frequency means
standard deviation Minimum This is a 1,000,000 kind off lift
off the value for the value of 75% its value
and the max So this will be useful up If
you want to get a look at your data set
what is a common column Values wherever it is not
applicable little say in and values right So some of
them that is no mean 1,000,000 releases a name Other
places it is actually going to display them So the
describe method is very useful If you want to get
a idea about your data and you can see include
our or you can say include only the columns that
you want There is also an info right in four
We will look at later Huh On another thing that
people usually want to do So right now we have

English: 
this over later Right In the uber data we have
a column called a start start stock start Is this
talking Going off all over trips right So I want
to know how many values are there So you can
say a value come So these other locations So there
are 201 trips starting from Carrie 1 48 unknown on
85 Morris will I don't know There's an Islamabad in
New York some earlier but that party other is one
that is also Karachi I think I don't know why
but yeah so So this is very useful because you
can know right How many unique values are there The
count off value so you can always do a value
counts and then you can go ahead Also if you
want that so it stays the top five locations No
don't fight for obstructing points Something like that A very
interesting thing Okay so let's look at the common data

English: 
this over later Right In the uber data we have
a column called a start start stock start Is this
talking Going off all over trips right So I want
to know how many values are there So you can
say a value come So these other locations So there
are 201 trips starting from Carrie 1 48 unknown on
85 Morris will I don't know There's an Islamabad in
New York some earlier but that party other is one
that is also Karachi I think I don't know why
but yeah so So this is very useful because you
can know right How many unique values are there The
count off value so you can always do a value
counts and then you can go ahead Also if you
want that so it stays the top five locations No
don't fight for obstructing points Something like that A very
interesting thing Okay so let's look at the common data

English: 
manipulation tasks that you can do So when you get
our data in the form of our data frame right
Ah some off the things that everybody wanted one is
selecting indexing the data I want to select only one
column three columns two columns very common Second is filtering
the data always possible I want all the values greater
than this less than there's something like that Been sorting
the later for sure I want to start it mutating
conditionally adding the column I have all the sales revenue
I want to add a new car on the total
or the mean off This something like that grew by
some rice So for example the uber trip data I
wantto grew by the start location and find out all
the clips which are having more than 10 miles or
something like that This kind of finances So if you
can get a basic idea about this fire tasks majority
off your lawyer What you say our e T A
Is done right If you can do this much that's
all you want to do right Waters And ofcourse then

English: 
manipulation tasks that you can do So when you get
our data in the form of our data frame right
Ah some off the things that everybody wanted one is
selecting indexing the data I want to select only one
column three columns two columns very common Second is filtering
the data always possible I want all the values greater
than this less than there's something like that Been sorting
the later for sure I want to start it mutating
conditionally adding the column I have all the sales revenue
I want to add a new car on the total
or the mean off This something like that grew by
some rice So for example the uber trip data I
wantto grew by the start location and find out all
the clips which are having more than 10 miles or
something like that This kind of finances So if you
can get a basic idea about this fire tasks majority
off your lawyer What you say our e T A
Is done right If you can do this much that's
all you want to do right Waters And ofcourse then

English: 
another thing that might come inside This is functions So
for some of these tasks you might want to write
a function Toto perform it We will discuss that But
commonly if you can understand these many aspects off it
that's more than enough Now when it comes to this
selecting so first thing we're going to Rio selecting there
is a small thing you need to understand that our
junipers one is called I look six second is just
called lock So whenever you want to select the columns
or rose from our data frame either you can say
I look or you can say Look this I Lakis
actually depreciated We have been using it Even it is
supported I don't know what version you're turning in Some
of the parent ask questions if you run the I
look it'll throw a warning saying that this is all
that is duplicated and or my I think in the
future versions they will remove it Lord is what everybody

English: 
another thing that might come inside This is functions So
for some of these tasks you might want to write
a function Toto perform it We will discuss that But
commonly if you can understand these many aspects off it
that's more than enough Now when it comes to this
selecting so first thing we're going to Rio selecting there
is a small thing you need to understand that our
junipers one is called I look six second is just
called lock So whenever you want to select the columns
or rose from our data frame either you can say
I look or you can say Look this I Lakis
actually depreciated We have been using it Even it is
supported I don't know what version you're turning in Some
of the parent ask questions if you run the I
look it'll throw a warning saying that this is all
that is duplicated and or my I think in the
future versions they will remove it Lord is what everybody

English: 
uses and the difference is very simple I lot means
this is accessing a row or column using a number
lock means by the name like I'll show you a
practical example but basically I look and lock are just
so I can do this So let's first look at
the data offering So if I want to get some
data I can say I look okay on dhe Then
I can't say Let's say the road Who Five Justin
example Okay on Then I can say 0 to 4
So can you tell me what happened here So when
I say I look the first part is the group
The second part is the colon So the total five

English: 
uses and the difference is very simple I lot means
this is accessing a row or column using a number
lock means by the name like I'll show you a
practical example but basically I look and lock are just
so I can do this So let's first look at
the data offering So if I want to get some
data I can say I look okay on dhe Then
I can't say Let's say the road Who Five Justin
example Okay on Then I can say 0 to 4
So can you tell me what happened here So when
I say I look the first part is the group
The second part is the colon So the total five

English: 
means row number starting from 01234 It will not include
five and 0 to 4 means work Gore Lem's 0123
So basically you want these five rules and these four
columns So the first thing that you mentioned is the
index that is a rule The second thing that human
mentioned is the call That is how I look works
actually Ah from that you're slicing up part of the
data so that is indexing right Also you can do
one more thing If you want selective columns you can
go like this I can say I even on leaders
of road column And the third quarter on this trip
like this The Rotor five lore zero Carla man third
column Zero parliaments for Scotland There Carla means this right
Can you guys try this Let me know if you're

English: 
means row number starting from 01234 It will not include
five and 0 to 4 means work Gore Lem's 0123
So basically you want these five rules and these four
columns So the first thing that you mentioned is the
index that is a rule The second thing that human
mentioned is the call That is how I look works
actually Ah from that you're slicing up part of the
data so that is indexing right Also you can do
one more thing If you want selective columns you can
go like this I can say I even on leaders
of road column And the third quarter on this trip
like this The Rotor five lore zero Carla man third
column Zero parliaments for Scotland There Carla means this right
Can you guys try this Let me know if you're

English: 
able to do it Not able to do it Okay
let me ask you one question What will happen if
I do Only this Will it work Just a question
The before and what happens Because the first are given
your passing is there Right on you're getting already columns
But if you want the other way around Rita you're
to say Colin Oh my is the doctor for What
does that mean This first call in his work All
the rose I want all the rose Look at here
1234 or the rose So it just stays extract cetera
doesn't display everything I want all the rules but only
these columns So remember this If you simply type anything
what will happen This These are one too right Only

English: 
able to do it Not able to do it Okay
let me ask you one question What will happen if
I do Only this Will it work Just a question
The before and what happens Because the first are given
your passing is there Right on you're getting already columns
But if you want the other way around Rita you're
to say Colin Oh my is the doctor for What
does that mean This first call in his work All
the rose I want all the rose Look at here
1234 or the rose So it just stays extract cetera
doesn't display everything I want all the rules but only
these columns So remember this If you simply type anything
what will happen This These are one too right Only

English: 
this and all the columns will be displayed But if
you want or the rules But just the columns that
you are interested You can say this Ah selecting or
in selecting certain columns that you want or roast that
you want That is what you're saying selecting our indexing
user in exposition that you're mentioning zero or one or
whatever Now you want all the rules but and all
the columns What does this mean All the rules All
the columns except the last corner Do you have the
last corner Where is the last column you don't have
That is not dead But it was a night I
think part of us right now One more thing Understood

English: 
this and all the columns will be displayed But if
you want or the rules But just the columns that
you are interested You can say this Ah selecting or
in selecting certain columns that you want or roast that
you want That is what you're saying selecting our indexing
user in exposition that you're mentioning zero or one or
whatever Now you want all the rules but and all
the columns What does this mean All the rules All
the columns except the last corner Do you have the
last corner Where is the last column you don't have
That is not dead But it was a night I
think part of us right now One more thing Understood

English: 
Because I have to do this Rocco Equal toe this
okay on the f dot shape Iran who not shape
So um I said from the later frame select all
the rose except the last column Fine But that is
not going to affect my own personal data Friend My
or generator frame still has 1156 rows and seven columns
I'm saving it as another data from called Ragu And
when I look at the shape of Raghu It has
only six corpse So whenever you're selecting the result has
to be saved somewhere or resented Later Frame never gets
that they're so obviously it's like a projection So you

English: 
Because I have to do this Rocco Equal toe this
okay on the f dot shape Iran who not shape
So um I said from the later frame select all
the rose except the last column Fine But that is
not going to affect my own personal data Friend My
or generator frame still has 1156 rows and seven columns
I'm saving it as another data from called Ragu And
when I look at the shape of Raghu It has
only six corpse So whenever you're selecting the result has
to be saved somewhere or resented Later Frame never gets
that they're so obviously it's like a projection So you

English: 
need to save it Sequel What you do you will
say what Select this column discord in this column at
something Right And you want to process it off course
the original table will not change You will stay with
us under the table or something Same thing So always
So This is the importance of shape You can see
what is happening in the row level Call of level
right Questions or Milo But yeah I don't I don't
think like I locus very important because like I said
it is sort of like a Replicator Why do you
think it is not important Exactly The column names if
you have a corland names were going to remember the
6 10 7 position That's like beer right So So
that is why lock actually came And mostly we prefer
Locke and Locke is easy actually So label based indexing
right So I can simply say something like this B

English: 
need to save it Sequel What you do you will
say what Select this column discord in this column at
something Right And you want to process it off course
the original table will not change You will stay with
us under the table or something Same thing So always
So This is the importance of shape You can see
what is happening in the row level Call of level
right Questions or Milo But yeah I don't I don't
think like I locus very important because like I said
it is sort of like a Replicator Why do you
think it is not important Exactly The column names if
you have a corland names were going to remember the
6 10 7 position That's like beer right So So
that is why lock actually came And mostly we prefer
Locke and Locke is easy actually So label based indexing
right So I can simply say something like this B

English: 
s dark lock Andi I can say call and coma
can sings Start Stop So what is happening What I
can say uh as a list right I can say
I want more There's only one column I want or
the starting and stopping location site What is that Court
is a corn stalk Start Stop Starlight I don't remember
Stop Start huh What will happen if I remove this

English: 
s dark lock Andi I can say call and coma
can sings Start Stop So what is happening What I
can say uh as a list right I can say
I want more There's only one column I want or
the starting and stopping location site What is that Court
is a corn stalk Start Stop Starlight I don't remember
Stop Start huh What will happen if I remove this

English: 
thing This corn doesn't work right Because you are saying
that Rows and columns Right So you say this on
this now I think it will work Just give me
one moment One moment One moment No this look Busan
works here Yeah So uh since this uh label based
indexing is very common like people are doing lock these
days a lot on one of the other thing is
that normally when you are working with the CIA story
file or an excel file you're mostly interested in the

English: 
thing This corn doesn't work right Because you are saying
that Rows and columns Right So you say this on
this now I think it will work Just give me
one moment One moment One moment No this look Busan
works here Yeah So uh since this uh label based
indexing is very common like people are doing lock these
days a lot on one of the other thing is
that normally when you are working with the CIA story
file or an excel file you're mostly interested in the

English: 
columns Not in the rules Rose are there But you
want to count calculate the average chauffeur column or summarize
a column So these guys have become more liberal and
now they're saying that you should not type hardcore like
a low C Then call and it's So if you
simply sit dear for these corners you'll get it Can
you see what I typed I really want you to
use your type the F dot and losi then to
call Amanda all roads But no I just want to
see two columns This is easy So this is sort
of like a shortcut on And in the actual programs
you will see like this They won't say law Kandarr
because it is assumed that you want to look at
a column right Unless so unless you want to filter
on the Rose right now I don't want to filter
on the Rose I just want to see the columns
I have an interesting question Okay not question I want
to show you something Let's go back to the original
away Off doing it The how'd you do it The

English: 
columns Not in the rules Rose are there But you
want to count calculate the average chauffeur column or summarize
a column So these guys have become more liberal and
now they're saying that you should not type hardcore like
a low C Then call and it's So if you
simply sit dear for these corners you'll get it Can
you see what I typed I really want you to
use your type the F dot and losi then to
call Amanda all roads But no I just want to
see two columns This is easy So this is sort
of like a shortcut on And in the actual programs
you will see like this They won't say law Kandarr
because it is assumed that you want to look at
a column right Unless so unless you want to filter
on the Rose right now I don't want to filter
on the Rose I just want to see the columns
I have an interesting question Okay not question I want
to show you something Let's go back to the original
away Off doing it The how'd you do it The

English: 
f darch lock All right then what do you say
are the rows and columns and you get the same
thing right now Pay close attention I'm going to do
something Pay close attention The F doc lock Ah I
would say colon coma Let's say only start start Uh
but a star start is missing Okay start Is there
display close attention This is the output off two columns
I'm going out on one corner You find anything interesting
Hi head Uh maybe here that is gone That's okay
Yes this this doesn't look like nice right I mean
so previously the uh you know uh this Waas if

English: 
f darch lock All right then what do you say
are the rows and columns and you get the same
thing right now Pay close attention I'm going to do
something Pay close attention The F doc lock Ah I
would say colon coma Let's say only start start Uh
but a star start is missing Okay start Is there
display close attention This is the output off two columns
I'm going out on one corner You find anything interesting
Hi head Uh maybe here that is gone That's okay
Yes this this doesn't look like nice right I mean
so previously the uh you know uh this Waas if

English: 
I come in this event learning too This looks very
nice in representation The other one doesn't look like The
reason is if you're giving only one column right If
you're giving only one column remember that is a series
This is a series You remember I told you our
data famous made up off individual columns So this branding
it as a series how do you know you can
actually assign it So I can say ABC equals so
this on if I check the type off ABC what
do you see CDs It's a CDs All right Okay
I invested So what do you mean right but probably
in your data manipulation tasks you don't want the city's
I want only one column but David estate offering I'm
not bothered about learning Siri's and all Then only one
small thing you need to do I think it should

English: 
I come in this event learning too This looks very
nice in representation The other one doesn't look like The
reason is if you're giving only one column right If
you're giving only one column remember that is a series
This is a series You remember I told you our
data famous made up off individual columns So this branding
it as a series how do you know you can
actually assign it So I can say ABC equals so
this on if I check the type off ABC what
do you see CDs It's a CDs All right Okay
I invested So what do you mean right but probably
in your data manipulation tasks you don't want the city's
I want only one column but David estate offering I'm
not bothered about learning Siri's and all Then only one
small thing you need to do I think it should

English: 
work but just to keep it here How many black
It's too I'm the steward I'm just passing it as
a list list So what will happen It will not
consider desert It'll be done Answered a tough thing because
these these are small things but may become very interesting
because you are You're working on a very large data
on you're doing some selection on a single column right
And you already ate You selected one column But the
output is the CDs Then if you write something on
a serious hit man or work because all the functions
that works on a date uh Freeman or work on
the cities then you're wondering why it is not working
I just wrote So then you might wantto pass it
inside a single list so that this guy will be
returned as sir data Right now this ABC will become
a great difference A proper date right now Try this

English: 
work but just to keep it here How many black
It's too I'm the steward I'm just passing it as
a list list So what will happen It will not
consider desert It'll be done Answered a tough thing because
these these are small things but may become very interesting
because you are You're working on a very large data
on you're doing some selection on a single column right
And you already ate You selected one column But the
output is the CDs Then if you write something on
a serious hit man or work because all the functions
that works on a date uh Freeman or work on
the cities then you're wondering why it is not working
I just wrote So then you might wantto pass it
inside a single list so that this guy will be
returned as sir data Right now this ABC will become
a great difference A proper date right now Try this

English: 
out if you weren't Okay So if you want time
tell me I just keep on going to next Going
to next If you need some time to do this
then tell me on I don't think it is there
in the notebook Fact Share it with you Some of
this eye makeup It may not be the end or
is in that file that I'm sharing you No this
one is a tough thing Previous one loss of CDs
No I just previously was bossing this Just that starts
stuff now added up this thing You passed it as
a list then the result will be a great offering
So what I'm saying is uh how do we show
this so relation with this Yeah So what I'm saying
is normally if you want to select only one column
So let me comment this open Normally if you want
to select only one column you can just pass the
column Right So what am I doing here I'm saying
that be after that log I want all the rose

English: 
out if you weren't Okay So if you want time
tell me I just keep on going to next Going
to next If you need some time to do this
then tell me on I don't think it is there
in the notebook Fact Share it with you Some of
this eye makeup It may not be the end or
is in that file that I'm sharing you No this
one is a tough thing Previous one loss of CDs
No I just previously was bossing this Just that starts
stuff now added up this thing You passed it as
a list then the result will be a great offering
So what I'm saying is uh how do we show
this so relation with this Yeah So what I'm saying
is normally if you want to select only one column
So let me comment this open Normally if you want
to select only one column you can just pass the
column Right So what am I doing here I'm saying
that be after that log I want all the rose

English: 
and the Korean name is Start Start No problem Right
But if I run this what will happen is that
it will create a series This is called a series
on The only way to identify whether it is a
serious or not is by doing a type and techno
later type of this series is nothing but a single
call A single column data I was called the series
right But I can't convert that into a date Nothing
Even though it is a single column I can have
a single column Imagine Like an Excel file with only
one call for seven Right Nobody's saying that you cannot
have for leaving column in an Excel file Probably I
wanted like that Then I need to pass this inside
a list So look at what I'm adding here this
stock stock What am I doing I'm adding this thing
Yeah See I'm adding I'm passing this as a list

English: 
and the Korean name is Start Start No problem Right
But if I run this what will happen is that
it will create a series This is called a series
on The only way to identify whether it is a
serious or not is by doing a type and techno
later type of this series is nothing but a single
call A single column data I was called the series
right But I can't convert that into a date Nothing
Even though it is a single column I can have
a single column Imagine Like an Excel file with only
one call for seven Right Nobody's saying that you cannot
have for leaving column in an Excel file Probably I
wanted like that Then I need to pass this inside
a list So look at what I'm adding here this
stock stock What am I doing I'm adding this thing
Yeah See I'm adding I'm passing this as a list

English: 
right And now if I run this you become a
date of thing So you need to do this If
you need that return data in the form of a
tough passengers So normally you will use that Squire bracket
If you have my people columns even for a single
column you must use it I really did Only the
output will be a great after him I'll reserve your
cities Yeah Lakis are sorry I lock is the number
you are mentioning Lock is the name So here I
am saying lock and start Start If this was I
Look I said to her third quarter Yeah so I
have to mention only the number And I look a
snort lady common disease because you have a C S
B file on dhe People don't want to just go
for the number right You have the label The label
based indexing is actually lock That is where this common

English: 
right And now if I run this you become a
date of thing So you need to do this If
you need that return data in the form of a
tough passengers So normally you will use that Squire bracket
If you have my people columns even for a single
column you must use it I really did Only the
output will be a great after him I'll reserve your
cities Yeah Lakis are sorry I lock is the number
you are mentioning Lock is the name So here I
am saying lock and start Start If this was I
Look I said to her third quarter Yeah so I
have to mention only the number And I look a
snort lady common disease because you have a C S
B file on dhe People don't want to just go
for the number right You have the label The label
based indexing is actually lock That is where this common

English: 
great these days must leave us lock So why don't
we Why don't we do an in class assignment right
So I have some interesting assignments So the thing is
like the ones which are easy to demonstrate I do
the ones which are difficult I give a citizen a
segment right You know you're not smiling Yeah So this
is like a list and God is fictional So So
yeah it really accept it Also the lock is ah
method which will take an argument Asbury's heroes And where
is your column So I am passing a list off
elements not a dictionary is key value pair So here

English: 
great these days must leave us lock So why don't
we Why don't we do an in class assignment right
So I have some interesting assignments So the thing is
like the ones which are easy to demonstrate I do
the ones which are difficult I give a citizen a
segment right You know you're not smiling Yeah So this
is like a list and God is fictional So So
yeah it really accept it Also the lock is ah
method which will take an argument Asbury's heroes And where
is your column So I am passing a list off
elements not a dictionary is key value pair So here

English: 
I don't have a key Your value right I just
have called him names So you found passing only one
column I can just have one column I don't have
to use a bracket Or if I'm passing multiple columns
How do I say my paper around brackets I don't
think it is supported because if you look at this
be if not lock matter it say's that input has
to be a list I don't think it's support but
let's try Since you have asked you're saying people right
So I paid 5000 dictionary expecially and making yourself with
just anyone I just So what do you do You
pass it right My bad suburbs In fact I have

English: 
I don't have a key Your value right I just
have called him names So you found passing only one
column I can just have one column I don't have
to use a bracket Or if I'm passing multiple columns
How do I say my paper around brackets I don't
think it is supported because if you look at this
be if not lock matter it say's that input has
to be a list I don't think it's support but
let's try Since you have asked you're saying people right
So I paid 5000 dictionary expecially and making yourself with
just anyone I just So what do you do You
pass it right My bad suburbs In fact I have

English: 
I mean but it cannot be a dictionary I know
because if I'm passing a dictionary it has to be
a key and a value But I like this like
this This is that difference is that that's what I'm
saying So I passed There are people but the data
type is a serious now It's not a date of
thing I really your capacity as a list The ideal
condition is that your capacity as a list If you
have only one parameter you pass it as it is
as a string If you have more than one you

English: 
I mean but it cannot be a dictionary I know
because if I'm passing a dictionary it has to be
a key and a value But I like this like
this This is that difference is that that's what I'm
saying So I passed There are people but the data
type is a serious now It's not a date of
thing I really your capacity as a list The ideal
condition is that your capacity as a list If you
have only one parameter you pass it as it is
as a string If you have more than one you

English: 
pass a test No but it is treating it as
a serious That's a problem That's what I'm saying You
can go but you will not get it as a
date after him I'm saying I don't like this It
is considering It is just like a string It is
not adding any value Actually if you're passing it as
a pupil because even if I remove the pupil I'm
getting the same old I got it But what if
I passed two elements Let's try that Right What if
I'm passing two elements here Start star coma Uh next
day Stop Stop What is Ah Korchemny Uh now it
is giving your date offering because there are two columns
who called himself But if I'm passing a single column
as a pupil it will not allow me to construct

English: 
pass a test No but it is treating it as
a serious That's a problem That's what I'm saying You
can go but you will not get it as a
date after him I'm saying I don't like this It
is considering It is just like a string It is
not adding any value Actually if you're passing it as
a pupil because even if I remove the pupil I'm
getting the same old I got it But what if
I passed two elements Let's try that Right What if
I'm passing two elements here Start star coma Uh next
day Stop Stop What is Ah Korchemny Uh now it
is giving your date offering because there are two columns
who called himself But if I'm passing a single column
as a pupil it will not allow me to construct

English: 
a date Africa doesn't mean that we see this No
they have things None of this is just recorded about
it But if you know how that goes No no
no This means this stupid cannot be further mortified But
I can add according to data from again that is
possible These are the original What is that Columns I
have in the rate of you Yes Yes because that
is the property of the date Afraid not What I'm
passing Actually our data framed by default allows me to
ad columns and remove columns If I want I can
say or his enter data from should not be changed
or it should be changed Both options are there but
I have seen So this is all so new to
me But I have never seen anybody using So in
fact I mean Thio tell you the real answer Probably
I can check Why You know why somebody should not

English: 
a date Africa doesn't mean that we see this No
they have things None of this is just recorded about
it But if you know how that goes No no
no This means this stupid cannot be further mortified But
I can add according to data from again that is
possible These are the original What is that Columns I
have in the rate of you Yes Yes because that
is the property of the date Afraid not What I'm
passing Actually our data framed by default allows me to
ad columns and remove columns If I want I can
say or his enter data from should not be changed
or it should be changed Both options are there but
I have seen So this is all so new to
me But I have never seen anybody using So in
fact I mean Thio tell you the real answer Probably
I can check Why You know why somebody should not

English: 
be acceptable Ah but I have never seen Because if
you're passing more than one values Ideally it's a list
off values not a pupil of values usually views List
is the mutable What is a collection which allows multiple
elements to us Oh it's or this one This is
what you say So Ah loc So loc It is
not a function actually so that brackets will come in
You're calling a method right This is not a method
actually LoC is a selection attributes So when I'm calling
loc I just need to mention what are the index
It takes only two separate positions one is the roll
One is the corner Yes it's not a function If
a Lucy was a function or a method I'll see

English: 
be acceptable Ah but I have never seen Because if
you're passing more than one values Ideally it's a list
off values not a pupil of values usually views List
is the mutable What is a collection which allows multiple
elements to us Oh it's or this one This is
what you say So Ah loc So loc It is
not a function actually so that brackets will come in
You're calling a method right This is not a method
actually LoC is a selection attributes So when I'm calling
loc I just need to mention what are the index
It takes only two separate positions one is the roll
One is the corner Yes it's not a function If
a Lucy was a function or a method I'll see

English: 
that But I could send options That is Norbit So
whenever you see those brackets admits it is a myth
this is not committed So why don't you do this
in class assignment Let's see how many of you can
do it Can you see this assignment I just show
you this one extract 1st 5 rows and columns I'll
just explain this I never date a frame where I
have Firoz on only these two columns That's the assignment
So you can use my local look That's up to
you Okay You can use I Look our luck next

English: 
that But I could send options That is Norbit So
whenever you see those brackets admits it is a myth
this is not committed So why don't you do this
in class assignment Let's see how many of you can
do it Can you see this assignment I just show
you this one extract 1st 5 rows and columns I'll
just explain this I never date a frame where I
have Firoz on only these two columns That's the assignment
So you can use my local look That's up to
you Okay You can use I Look our luck next

English: 
after you huh One woman does think so Even in
the summer some of the things are very How do

English: 
after you huh One woman does think so Even in
the summer some of the things are very How do

English: 
I say new to me See I roared the solution
like this right This is correct Right So now I
got another solution Where Here You put a colon and
the new door dot head Yeah So see it is
up to you to decide But normally that iss not
something we do I know Head will display elements Top
five elements Right Uh butt head This normally like a
limit statement in sequence and sequel You have What A
limit Statement So what is the purpose Off a limit
You just want to see the data Where will you
use a limit You have one million rose We just
want to see top when the rose u Selim it
so I can actually do adore Heady will get the
open but usually have any When somebody asks you the
worst election okay What they ask is actually I want
specific rows and columns like I can also write a
dart head I know And but ideally this is how
you should write it on Somebody was also asking Is

English: 
I say new to me See I roared the solution
like this right This is correct Right So now I
got another solution Where Here You put a colon and
the new door dot head Yeah So see it is
up to you to decide But normally that iss not
something we do I know Head will display elements Top
five elements Right Uh butt head This normally like a
limit statement in sequence and sequel You have What A
limit Statement So what is the purpose Off a limit
You just want to see the data Where will you
use a limit You have one million rose We just
want to see top when the rose u Selim it
so I can actually do adore Heady will get the
open but usually have any When somebody asks you the
worst election okay What they ask is actually I want
specific rows and columns like I can also write a
dart head I know And but ideally this is how
you should write it on Somebody was also asking Is

English: 
there a performance difference I didn't see any performance difference
Even if you're right ahead or do like this But
something like this should be I really ran So I'm
saying Well you are You are You are to decide
I mean if you are interested in doing a dark
head that's also fine I have a question I want
that with our convention ng he's next So which one
star high on your next mission we conduct should be
starting No not this one We cannot change This is
actually system generated Index Right This road before up 200
This system generator right If I want to do any
condition I have to do the condition within the start
date I can say within the start date I want
the field generator from this day to that day So
that will happen only here I'll show you how to
do that But this index will not change now What
I can also do is that I can change this

English: 
there a performance difference I didn't see any performance difference
Even if you're right ahead or do like this But
something like this should be I really ran So I'm
saying Well you are You are You are to decide
I mean if you are interested in doing a dark
head that's also fine I have a question I want
that with our convention ng he's next So which one
star high on your next mission we conduct should be
starting No not this one We cannot change This is
actually system generated Index Right This road before up 200
This system generator right If I want to do any
condition I have to do the condition within the start
date I can say within the start date I want
the field generator from this day to that day So
that will happen only here I'll show you how to
do that But this index will not change now What
I can also do is that I can change this

English: 
index because right now there's a stimulating indexes or 200
I don't want that I can say in start off
this replace this index on have an index off either
our date or any call Um I can address an
index I assure you but you need to have a
corner but you can take it as an index will
take an example No no no Thatis different That is
the sequel Indexing This has nothing to do with that
This is just in next minister position So the attack
that is talking about the school indexing that is totally
different right Because in that indexing what it does It
calculates the mean median and some statistical values off the
columns and story That is how it really is Faster
she had It is just the mentioning off the position
holding booth I know you want to do this and
I don't know how you do it and I don't

English: 
index because right now there's a stimulating indexes or 200
I don't want that I can say in start off
this replace this index on have an index off either
our date or any call Um I can address an
index I assure you but you need to have a
corner but you can take it as an index will
take an example No no no Thatis different That is
the sequel Indexing This has nothing to do with that
This is just in next minister position So the attack
that is talking about the school indexing that is totally
different right Because in that indexing what it does It
calculates the mean median and some statistical values off the
columns and story That is how it really is Faster
she had It is just the mentioning off the position
holding booth I know you want to do this and
I don't know how you do it and I don't

English: 
I looked one difference will be fired right This one
you cannot pass Ah started and Miles Jr to give
the golden number What would be that Give me that
You go for more No it doesn't From another way
your fight You just have to get No no no
You want to know what will be the number of
start date right No I don't think you have to
figure it out Only based on the position on that

English: 
I looked one difference will be fired right This one
you cannot pass Ah started and Miles Jr to give
the golden number What would be that Give me that
You go for more No it doesn't From another way
your fight You just have to get No no no
You want to know what will be the number of
start date right No I don't think you have to
figure it out Only based on the position on that

English: 
this why I look indexing n'est ce Not very popular
Because if I'm giving your data frame on I'm asking
You do And I look on this column only there
is that But you can say dark columns and get
it I can say dot columns Right I mean you
don't have to look at the date offering What's the
name of the rate of frame so I can do
a column Said I can see these are the columns
Now I can Cicero inquired on how to read the
entire file to look into that And then I need
to say so Throw one There is no other way
to do it Actually exciting We can move really long
Your columns then I mean okay so we just did
selecting and I just wantto bring your attention to filtering
All right What do you mean by filtering You can
filter the data Right now there is one small thing

English: 
this why I look indexing n'est ce Not very popular
Because if I'm giving your data frame on I'm asking
You do And I look on this column only there
is that But you can say dark columns and get
it I can say dot columns Right I mean you
don't have to look at the date offering What's the
name of the rate of frame so I can do
a column Said I can see these are the columns
Now I can Cicero inquired on how to read the
entire file to look into that And then I need
to say so Throw one There is no other way
to do it Actually exciting We can move really long
Your columns then I mean okay so we just did
selecting and I just wantto bring your attention to filtering
All right What do you mean by filtering You can
filter the data Right now there is one small thing

English: 
you need to understand Filtering works very easily For example
one off the condition that I want to put is
that I want oh filter all the trips which are
greater than 10 miles So there is a Miles column
and I need to fill it But before you run
this don't directly run this Um let us see what
will happen if I do this only So I'm just
hoping only one part off the court It stays in
the data frame I have ah Miles column I want
everything which is greater than men Now don't run this
Can you take a guess what will happen if I
run this So the condition I'm giving is that I
want to look at the Miles column in the rate
of thing where I want all the miles We should
get to that Then if I run this you because
this is how filtering works That's what I want to

English: 
you need to understand Filtering works very easily For example
one off the condition that I want to put is
that I want oh filter all the trips which are
greater than 10 miles So there is a Miles column
and I need to fill it But before you run
this don't directly run this Um let us see what
will happen if I do this only So I'm just
hoping only one part off the court It stays in
the data frame I have ah Miles column I want
everything which is greater than men Now don't run this
Can you take a guess what will happen if I
run this So the condition I'm giving is that I
want to look at the Miles column in the rate
of thing where I want all the miles We should
get to that Then if I run this you because
this is how filtering works That's what I want to

English: 
know First you have to identify the condition what condition
you want to put I want this column greater than
this That's a condition If you only run the condition
what will happen The condition will be there Satisfied or
not satisfied You will get through or for us basically
But I don't want this right I don't want this
I want all the trips there More than 10 mice
is required That is where you need to add the
condition like this So basically what You're Lewis instead Off
this you will say I want to create another data
frame where I'm using the lock And I'm saying that
I want all the mice greater than 10 coma my
star And if I do or do you have to
Well another thing is that Why are you doing this
The last mile star then our little display The column
If you simply add the filter condition it is not
going to display the columns Then you mentioned So do

English: 
know First you have to identify the condition what condition
you want to put I want this column greater than
this That's a condition If you only run the condition
what will happen The condition will be there Satisfied or
not satisfied You will get through or for us basically
But I don't want this right I don't want this
I want all the trips there More than 10 mice
is required That is where you need to add the
condition like this So basically what You're Lewis instead Off
this you will say I want to create another data
frame where I'm using the lock And I'm saying that
I want all the mice greater than 10 coma my
star And if I do or do you have to
Well another thing is that Why are you doing this
The last mile star then our little display The column
If you simply add the filter condition it is not
going to display the columns Then you mentioned So do

English: 
you want one more Corland You addict Right I also
want work started Stock fate You get the first aid
for just starting so get the fuck statement like a
of mice stock trivia Then be indicted on state street
markets You can get So this one has this in
national guessing Okay without the law for this So the

English: 
you want one more Corland You addict Right I also
want work started Stock fate You get the first aid
for just starting so get the fuck statement like a
of mice stock trivia Then be indicted on state street
markets You can get So this one has this in
national guessing Okay without the law for this So the

English: 
line here Yeah I have I do Give me one
You want another Give you No what happened But now
what is happening Yeah So that's correct Right But you
get all the columns right You're getting so you're simply
saying that in the d f I just want you
up like that is absolutely possible You're just filtering that
But what will happen to your orders in our data
from do you think Because the conditions that you're adding
right it is sort of like you are filtering in
based on that right So that Sosa Yeah So this
is one way to say that But here you are
saying that I want all the columns So she have
the only difference is that so I told you right
you It is not mandated You should use lock lock

English: 
line here Yeah I have I do Give me one
You want another Give you No what happened But now
what is happening Yeah So that's correct Right But you
get all the columns right You're getting so you're simply
saying that in the d f I just want you
up like that is absolutely possible You're just filtering that
But what will happen to your orders in our data
from do you think Because the conditions that you're adding
right it is sort of like you are filtering in
based on that right So that Sosa Yeah So this
is one way to say that But here you are
saying that I want all the columns So she have
the only difference is that so I told you right
you It is not mandated You should use lock lock

English: 
you can remove So I can simply say the f
off this thing And then I can say I want
a really specific columns that is also posted Yes Oh
here The only difference I want on little one Yeah
Yes Oh you do go e I know that it

English: 
you can remove So I can simply say the f
off this thing And then I can say I want
a really specific columns that is also posted Yes Oh
here The only difference I want on little one Yeah
Yes Oh you do go e I know that it

English: 
is coming You're right You have your money in two
cities Nor does it Okay so what happened So you
can pass that right That will be immutable So you
cannot say that I want to put this roar for
Carson condition and then pass to call him That doesn't
work All right so that sort of thing backs at
it So whenever you're doing filtering party need to do
that Either you apply that to all columns or if
you're picking Senator Collins they say I law or you
remove it And then you say I play that only
on this No Previously what he was doing I mean
what he was asking Is that why it was throwing
another So after this it was I was adding two

English: 
is coming You're right You have your money in two
cities Nor does it Okay so what happened So you
can pass that right That will be immutable So you
cannot say that I want to put this roar for
Carson condition and then pass to call him That doesn't
work All right so that sort of thing backs at
it So whenever you're doing filtering party need to do
that Either you apply that to all columns or if
you're picking Senator Collins they say I law or you
remove it And then you say I play that only
on this No Previously what he was doing I mean
what he was asking Is that why it was throwing
another So after this it was I was adding two

English: 
more columns So that is not possible If you are
doing like this you are applying a condition This is
like a war for his condition So this will apply
to the whole later friend So now from this probably
against I want to select only certain Collins I have
a day off to now from the day off so
I can say I want to present only two columns
in this statement I cannot say that Corland I wantto
Adam Lee only to Collins I went up like this
is the way I played for the horn It is
saying serious subject immutable It is treating it as a
series So this condition it is treating is that the
cities we landed right at me So what was the
condition we added Yeah You can have an and and
Or I will come back with a question in a
moment Okay You can put in and and or I'll
show you examples Okay so but basically what we were
doing I forgot So what we were doing uh he

English: 
more columns So that is not possible If you are
doing like this you are applying a condition This is
like a war for his condition So this will apply
to the whole later friend So now from this probably
against I want to select only certain Collins I have
a day off to now from the day off so
I can say I want to present only two columns
in this statement I cannot say that Corland I wantto
Adam Lee only to Collins I went up like this
is the way I played for the horn It is
saying serious subject immutable It is treating it as a
series So this condition it is treating is that the
cities we landed right at me So what was the
condition we added Yeah You can have an and and
Or I will come back with a question in a
moment Okay You can put in and and or I'll
show you examples Okay so but basically what we were
doing I forgot So what we were doing uh he

English: 
was saying watch be If not I log So you
have not knock right then what was the condition Be
a four mile straighter than 10 Then what was it
What was weird way I did this So this is
a simple a filtering that you can go Okay Sorry
Let me Just So what do you have to dart
head I just told him all of this All right
Um now eso this is Somebody was asking you can
or sword directly Ah apply that So here I am
doing a d f dot miles greater than $10 head
So basically if you want all the columns then you
don't want to say select specific columns You will get

English: 
was saying watch be If not I log So you
have not knock right then what was the condition Be
a four mile straighter than 10 Then what was it
What was weird way I did this So this is
a simple a filtering that you can go Okay Sorry
Let me Just So what do you have to dart
head I just told him all of this All right
Um now eso this is Somebody was asking you can
or sword directly Ah apply that So here I am
doing a d f dot miles greater than $10 head
So basically if you want all the columns then you
don't want to say select specific columns You will get

English: 
them right now Uh one more thing Which is interesting
Is that what If you want to find out all
rights to or from Carrie right It's not too Gary
from let's say New York Right So in that case
what will you do You will say the column name
equals two What you going toe New York Right And
then know this and I saw So here you have
ah String column Start start Isa String column And you
can do a equal on one of the things that
we commonly see here Is this east in Operator This
is very common What is this is in operator So
you want to match my people conditions For example I
want to select the start location Find out all the

English: 
them right now Uh one more thing Which is interesting
Is that what If you want to find out all
rights to or from Carrie right It's not too Gary
from let's say New York Right So in that case
what will you do You will say the column name
equals two What you going toe New York Right And
then know this and I saw So here you have
ah String column Start start Isa String column And you
can do a equal on one of the things that
we commonly see here Is this east in Operator This
is very common What is this is in operator So
you want to match my people conditions For example I
want to select the start location Find out all the

English: 
rights that is Ah you know starting from carry on
more spill So if you wantto know Look for my
people locations you can do this Or let's say you
weren't Caddy and New York If it is having either
carry your New York it is going to give you
the answer So and he fired Oh uh let's save
it as something So let's call it as my rights
or something And if I do are my rights easy

English: 
rights that is Ah you know starting from carry on
more spill So if you wantto know Look for my
people locations you can do this Or let's say you
weren't Caddy and New York If it is having either
carry your New York it is going to give you
the answer So and he fired Oh uh let's save
it as something So let's call it as my rights
or something And if I do are my rights easy

English: 
Hey so here you have matching Gary and you and
in the sense either if this Carrie or New York
it is going to get it So this is in
operator is important and I don't want to actually get
into the discussion but there is something called a regular
expression sort So you know that right So you can
always write It rejects So string operations Whenever you do
you writer rejects to exactly match or select starting with
this letter ending with this letter these things way today
the numbers don't seem to be updated Oh yes Oh
yeah S o I wantedto clarify that I think somebody
asked during the break So this is very important For
example let me show you something So what did you
do You really feel right And you have my rights

English: 
Hey so here you have matching Gary and you and
in the sense either if this Carrie or New York
it is going to get it So this is in
operator is important and I don't want to actually get
into the discussion but there is something called a regular
expression sort So you know that right So you can
always write It rejects So string operations Whenever you do
you writer rejects to exactly match or select starting with
this letter ending with this letter these things way today
the numbers don't seem to be updated Oh yes Oh
yeah S o I wantedto clarify that I think somebody
asked during the break So this is very important For
example let me show you something So what did you
do You really feel right And you have my rights

English: 
If I'd wear my life's dot I lock I'm doing
on my rights off I log right And I'm saying
that the road of five Okay Coma Stop What does
this mean I won t Huh This one work right
But if I do a lock Okay I will get
nothing Why Yeah this is very very important because see
you are doing a filter right Nope Sorry You're doing
a filter right after the filter condition You're picking all
the rights from Carrie and New York And 1st 6
right sir Nor there it is starting from seven Probably
around 78 and 10 22 So when you say a
low c it is the name based in vaccine Call
them names and road names Not rock proposition So and
it says notify nothing will come It was a 78
and pending on level That is also a confusing thing

English: 
If I'd wear my life's dot I lock I'm doing
on my rights off I log right And I'm saying
that the road of five Okay Coma Stop What does
this mean I won t Huh This one work right
But if I do a lock Okay I will get
nothing Why Yeah this is very very important because see
you are doing a filter right Nope Sorry You're doing
a filter right after the filter condition You're picking all
the rights from Carrie and New York And 1st 6
right sir Nor there it is starting from seven Probably
around 78 and 10 22 So when you say a
low c it is the name based in vaccine Call
them names and road names Not rock proposition So and
it says notify nothing will come It was a 78
and pending on level That is also a confusing thing

English: 
Because if you're using a low C this is the
name off the road north Deposition Use it and you
can be Yes I will show you Ah there is
one example So normally in these cases what we do
there is a technical reset index So I store This
s my rights Right now The problem is that in
my rights that index is work 78 I can't say
there is an option called Reset Index Okay so he
fired Will reset Index This all started 0123 But I
have some more things I just show you how to
do that But that is one thing we commonly call
from Oh yeah yeah I think I want to take
something Yeah So this is our lives from we shouldn't
be of the offshore work right Because of the f
s my origin A late offering verified O d f

English: 
Because if you're using a low C this is the
name off the road north Deposition Use it and you
can be Yes I will show you Ah there is
one example So normally in these cases what we do
there is a technical reset index So I store This
s my rights Right now The problem is that in
my rights that index is work 78 I can't say
there is an option called Reset Index Okay so he
fired Will reset Index This all started 0123 But I
have some more things I just show you how to
do that But that is one thing we commonly call
from Oh yeah yeah I think I want to take
something Yeah So this is our lives from we shouldn't
be of the offshore work right Because of the f
s my origin A late offering verified O d f

English: 
What is the f that will have all reasonable That
is never going to change But I'm saying if I
don't my rights my rights that index is different because
it is really telling only those columns Okay well here
You said you want to use You can do that
also if you want This is the easy way off
doing Actually Ideally you should say dart lock and then
select according But pandas actually allows you pathetically access the
corner that is also posted But there is no difference
actually because originally So how it happened was that originally
when data frames came in the picture be horribly I
lock There was no lock actually but then it was
really problem because the coral I'm indexing is very difficult
Then they introduced this lock on when they introduced this

English: 
What is the f that will have all reasonable That
is never going to change But I'm saying if I
don't my rights my rights that index is different because
it is really telling only those columns Okay well here
You said you want to use You can do that
also if you want This is the easy way off
doing Actually Ideally you should say dart lock and then
select according But pandas actually allows you pathetically access the
corner that is also posted But there is no difference
actually because originally So how it happened was that originally
when data frames came in the picture be horribly I
lock There was no lock actually but then it was
really problem because the coral I'm indexing is very difficult
Then they introduced this lock on when they introduced this

English: 
lock They said that Okay since to differentiate them you
say lock and I look But if you are very
comfortable you can just say column name it will work
I ah in this case because faster for you are
mentioning the column Ning right If it is I look
it has to be the numbers and then it should
Right Um so I will just uh remote this um
So what I have a low in the rest off
time I was just How do you clear this I'm
not able to clear the air Okay So why don't
you do something I'll give you an in class assignment
So just like all the assignments find all the trips
with distance greater than 10 miles on originating from Carrie
and Morris So So what is the condition It's a
filter Okay You want to find all the trips with
distance more than 10 miles and or resonating from Carrie

English: 
lock They said that Okay since to differentiate them you
say lock and I look But if you are very
comfortable you can just say column name it will work
I ah in this case because faster for you are
mentioning the column Ning right If it is I look
it has to be the numbers and then it should
Right Um so I will just uh remote this um
So what I have a low in the rest off
time I was just How do you clear this I'm
not able to clear the air Okay So why don't
you do something I'll give you an in class assignment
So just like all the assignments find all the trips
with distance greater than 10 miles on originating from Carrie
and Morris So So what is the condition It's a
filter Okay You want to find all the trips with
distance more than 10 miles and or resonating from Carrie

English: 
and Morris So what is the challenge that you're going
to have You are applying to filter condition How do
you play to fester Condition on dhe Put on it
will be fulfilled her condition And when you're put in
and what you should do you should put a bracket
So Brackett on bracket just just give it a try
I mean I'll just give it us Try if it
is working Fine But other ways there's a documentation which
we have like when to use swat But what usually
But this is very common right Even in other programming
languages But you have an end or you put them
in a bracket sequel You do right here And this
and all this pipe character I think in some other
places are so busy and and pipe right and sequel

English: 
and Morris So what is the challenge that you're going
to have You are applying to filter condition How do
you play to fester Condition on dhe Put on it
will be fulfilled her condition And when you're put in
and what you should do you should put a bracket
So Brackett on bracket just just give it a try
I mean I'll just give it us Try if it
is working Fine But other ways there's a documentation which
we have like when to use swat But what usually
But this is very common right Even in other programming
languages But you have an end or you put them
in a bracket sequel You do right here And this
and all this pipe character I think in some other
places are so busy and and pipe right and sequel

English: 
What you say And Andy what is what I get
it this and listen and then bye Or your character
or condition Water No You have to use our distinct
pan port Let me try I mean I were I
don't know I just that is work So try this
This may take a time so I'll give you the
rough idea for the answer Right So you will have
a low C for sure Look And you will first
have a square bracket right on in the square bracket
You will have us our club bracket Here You will
say watch the first filter miles filter He will come
here on you will say And in the second bracket
you will have This is in Yes in Daddy and
New York Ah whatever right Even I don't I just
have to try I mean the answer right I should

English: 
What you say And Andy what is what I get
it this and listen and then bye Or your character
or condition Water No You have to use our distinct
pan port Let me try I mean I were I
don't know I just that is work So try this
This may take a time so I'll give you the
rough idea for the answer Right So you will have
a low C for sure Look And you will first
have a square bracket right on in the square bracket
You will have us our club bracket Here You will
say watch the first filter miles filter He will come
here on you will say And in the second bracket
you will have This is in Yes in Daddy and
New York Ah whatever right Even I don't I just
have to try I mean the answer right I should

English: 
see if it is coming So give me one moment
I will just try and answer So somebody who got
on and said I mean then Oh it ain't so
People actually guard Answer That's good So that means my
question is getting at least I thought I was the
only one who will get some answers That's what they
can have My fencing are no Here it is And
hammers for condition only in filtering conditions So panda supports
normal height on the hair and share or will be
a fight for filtering for riding conditions Oh I think
Okay one more small thing Uh see one small thing

English: 
see if it is coming So give me one moment
I will just try and answer So somebody who got
on and said I mean then Oh it ain't so
People actually guard Answer That's good So that means my
question is getting at least I thought I was the
only one who will get some answers That's what they
can have My fencing are no Here it is And
hammers for condition only in filtering conditions So panda supports
normal height on the hair and share or will be
a fight for filtering for riding conditions Oh I think
Okay one more small thing Uh see one small thing

English: 
I want to tell you is that this bracket and
this bracket are different Do you understand Right This bracket
on this bracket is different Wait Ah oneness A method
you're calling the other is just implementing too and condition
So So it's not like wherever it doesn't work you
out of the package Okay Okay Saleh Government more bracket
Maybe it'll understand this thing Oh it is working But
this is for readability as well Like you're saying that
this is one But this is different I'm saying like
this is the stillness actually here Okay Somebody was asking
a very interesting question and I wanted to answer the
question right Can you guys have a look Att What
I'm goingto type Well why That is only four There's

English: 
I want to tell you is that this bracket and
this bracket are different Do you understand Right This bracket
on this bracket is different Wait Ah oneness A method
you're calling the other is just implementing too and condition
So So it's not like wherever it doesn't work you
out of the package Okay Okay Saleh Government more bracket
Maybe it'll understand this thing Oh it is working But
this is for readability as well Like you're saying that
this is one But this is different I'm saying like
this is the stillness actually here Okay Somebody was asking
a very interesting question and I wanted to answer the
question right Can you guys have a look Att What
I'm goingto type Well why That is only four There's

English: 
only four actually Why I'm getting ready for What did
he Oh I wasn't listening What is the spilling Yeah
Thank you Yeah Uh mm Oh I do this That's
right Now I have a very interesting thing I want
to show you So I created something called the F
three Now a lot off You were asking that Hey
there is a problem Because if I look at the
FT Index is starting with 28 so you can do
worry set You are really setting The index offered a
doorframe Ah but a couple of problems What are the
problems you identify Ah so venue venue It will reset

English: 
only four actually Why I'm getting ready for What did
he Oh I wasn't listening What is the spilling Yeah
Thank you Yeah Uh mm Oh I do this That's
right Now I have a very interesting thing I want
to show you So I created something called the F
three Now a lot off You were asking that Hey
there is a problem Because if I look at the
FT Index is starting with 28 so you can do
worry set You are really setting The index offered a
doorframe Ah but a couple of problems What are the
problems you identify Ah so venue venue It will reset

English: 
index It will add an index column but this column
will remain right Also One more thing Very interesting Look
at the F three No change So I didn't reset
Index Okay So what happened That is an index carla
matter I'm happy but problems one The existing column is
their second problem My original data frame doesn't change So
let us solve the problems one by one Okay First
problem I'm going to solve is that I want everything
in the original later thing So you can say so
This this argument is very important in place equal True
What it means is that changed all regenerator All right
so I'm saying that recent index on the F three
on I want that to be only a free So
if I run the of three what happens now that

English: 
index It will add an index column but this column
will remain right Also One more thing Very interesting Look
at the F three No change So I didn't reset
Index Okay So what happened That is an index carla
matter I'm happy but problems one The existing column is
their second problem My original data frame doesn't change So
let us solve the problems one by one Okay First
problem I'm going to solve is that I want everything
in the original later thing So you can say so
This this argument is very important in place equal True
What it means is that changed all regenerator All right
so I'm saying that recent index on the F three
on I want that to be only a free So
if I run the of three what happens now that

English: 
the after exchange right or isn't a later famous changed
So by default it is in place falls Meaning it
will not change Now what is your problem Money It
was an exchange No I want to change it Right
Because this is my field outward in the filter or
what I want in Texas from zero right I don't
want this I don't want this I want this So
that is why I'm saying in place equal to prove
precept it Now The problem is this is any way
that I want to move this way It's not about
So what I'm saying So guys pay attention No So
I mean this is a bit confusing If I say
simply reset index right What will happen It will reset
the index but the original data frame will be unaffected

English: 
the after exchange right or isn't a later famous changed
So by default it is in place falls Meaning it
will not change Now what is your problem Money It
was an exchange No I want to change it Right
Because this is my field outward in the filter or
what I want in Texas from zero right I don't
want this I don't want this I want this So
that is why I'm saying in place equal to prove
precept it Now The problem is this is any way
that I want to move this way It's not about
So what I'm saying So guys pay attention No So
I mean this is a bit confusing If I say
simply reset index right What will happen It will reset
the index but the original data frame will be unaffected

English: 
So what you can do I can save it Has
another one right Are you able to understand what I'm
saying are able to understand right But I don't want
this because I wrote a filter The output off the
filter condition is near three I want d of three
to be my final answer I don't want to create
another day of actually So what I can do is
that here itself I can't say what in place equal
to true Oh sorry Uh sorry guys I can say
the f three I want to reset the index in
place Equal to true means my original later frame reset
will be Index said we said But again my problem
is that this 28 34 remains so I can say

English: 
So what you can do I can save it Has
another one right Are you able to understand what I'm
saying are able to understand right But I don't want
this because I wrote a filter The output off the
filter condition is near three I want d of three
to be my final answer I don't want to create
another day of actually So what I can do is
that here itself I can't say what in place equal
to true Oh sorry Uh sorry guys I can say
the f three I want to reset the index in
place Equal to true means my original later frame reset
will be Index said we said But again my problem
is that this 28 34 remains so I can say

English: 
brought equal to true That is your final answer It
will drop that previous index Yeah so this indexing will
be really confusing so I will probably grow That's easy
right Rather than talking about this So what I did
I had a date after him right I have a
date huh That's only three column What is the index
defined Like this night huh On let's say here you
have a column called Name and you have a corn
on Corn Age Okay so here you have some dice
A B C D E f Huh Agius 123456 I
wrote a field that where I said I want a
JJ greater then four So this data frame is called

English: 
brought equal to true That is your final answer It
will drop that previous index Yeah so this indexing will
be really confusing so I will probably grow That's easy
right Rather than talking about this So what I did
I had a date after him right I have a
date huh That's only three column What is the index
defined Like this night huh On let's say here you
have a column called Name and you have a corn
on Corn Age Okay so here you have some dice
A B C D E f Huh Agius 123456 I
wrote a field that where I said I want a
JJ greater then four So this data frame is called

English: 
uh the F This is the F What is the
next off BF zero toe fight I gotta fill age
I want age I want to apply the filter A
straighter than four right on this filter will be created
as another date offering right The F one Because I'm
saving a cemetery Nothing So if I visualize b f
one what will happen How many will also be there
Left Four Is this clear So far right So now
forget this Forget it because we're doing filtering now This
is my data now My problem is I want to
access rows and columns and everything but my index is
starting from 44 are on Warned this I want to
reset Right So that is where you say it be

English: 
uh the F This is the F What is the
next off BF zero toe fight I gotta fill age
I want age I want to apply the filter A
straighter than four right on this filter will be created
as another date offering right The F one Because I'm
saving a cemetery Nothing So if I visualize b f
one what will happen How many will also be there
Left Four Is this clear So far right So now
forget this Forget it because we're doing filtering now This
is my data now My problem is I want to
access rows and columns and everything but my index is
starting from 44 are on Warned this I want to
reset Right So that is where you say it be

English: 
If one I will say the F one Okay Doc
Reset Index The problem is if I run this command
it will reset the index But the orders in a
date offering will not be affected Then what is the
use right I want Do you want to be my
final output But if I settle the set index it
will not change anything here That is where you're saying
in place Equal toe This means this means change the
order General A doorframe So it will just removed from
here This will become zero so become one But the
problem is now glad One more call And for your
four and five you had four and five year right
It will come as one more So this is a
world index This is new index So remove that you
can also say draw People approve meaning tropical it remains

English: 
If one I will say the F one Okay Doc
Reset Index The problem is if I run this command
it will reset the index But the orders in a
date offering will not be affected Then what is the
use right I want Do you want to be my
final output But if I settle the set index it
will not change anything here That is where you're saying
in place Equal toe This means this means change the
order General A doorframe So it will just removed from
here This will become zero so become one But the
problem is now glad One more call And for your
four and five you had four and five year right
It will come as one more So this is a
world index This is new index So remove that you
can also say draw People approve meaning tropical it remains

English: 
It'll drop this car This will be a final day
Well it's a bit having complicated understand But that is
what is happening You are resetting the index on removing
the oil index That's what you're doing All right so
we'll see these things when you work sometimes and sometimes
the requirement will be totally different because I don't want
to touch the originator thing Then it is fine I
say if it has another later frame and work on
my things DFL any very Manhasset ease Because after fish
there this is my new data that I will not
affect this one Democrat Yeah There can be many places
I mean s So this is where I want to
change But in many cases so ah use case will
be that I have a date offering which which is
used for multiple purpose normally one purpose So I want
to apply a filter or reset index for myself but
project or whatever I'm doing But maybe somebody else is
also accessing the data they run Want to shift index

English: 
It'll drop this car This will be a final day
Well it's a bit having complicated understand But that is
what is happening You are resetting the index on removing
the oil index That's what you're doing All right so
we'll see these things when you work sometimes and sometimes
the requirement will be totally different because I don't want
to touch the originator thing Then it is fine I
say if it has another later frame and work on
my things DFL any very Manhasset ease Because after fish
there this is my new data that I will not
affect this one Democrat Yeah There can be many places
I mean s So this is where I want to
change But in many cases so ah use case will
be that I have a date offering which which is
used for multiple purpose normally one purpose So I want
to apply a filter or reset index for myself but
project or whatever I'm doing But maybe somebody else is
also accessing the data they run Want to shift index

English: 
Probably so I will keep it as it is So
I would always say that either really this is a
pretty tough for him Then I can do my activities
right that they put on the use case what we're
working on uh in the you know point off time
I'll just quickly show you some more things Um all
outputs clear So there is a sorting Okay I don't
want to spend a lot of time on sorting but
basically what you can do is that you can do
a sort of values by the column you can say
as sending false on head So it's very simple right
You're saying that the Carla Miss miles on ascending is
false and then head on You can also soared by
my tipple column So what are you doing here You're
starting my start and Miles can you take a guess
how this will work If you want the sword by
multiple column first epic of the start it'll sort them

English: 
Probably so I will keep it as it is So
I would always say that either really this is a
pretty tough for him Then I can do my activities
right that they put on the use case what we're
working on uh in the you know point off time
I'll just quickly show you some more things Um all
outputs clear So there is a sorting Okay I don't
want to spend a lot of time on sorting but
basically what you can do is that you can do
a sort of values by the column you can say
as sending false on head So it's very simple right
You're saying that the Carla Miss miles on ascending is
false and then head on You can also soared by
my tipple column So what are you doing here You're
starting my start and Miles can you take a guess
how this will work If you want the sword by
multiple column first epic of the start it'll sort them

English: 
in Peru True is ascending order ABC re with each
It will do uh Mile sorting in descending order So
I'm basically looking at all the troops in alphabetical order
with the highest length first right Because this is descending
right So starting We will see later I'm in up
as off now you just need to understand how to
sort So you look you look it here I do
a head off friend e s o c It is
starting with Agnew affects a right and within Agnew it
is again starting 4.32 point for 2.2 Like this fight
for everything they are for s o that iss One
thing I want and probably we will look at one
more thing then we will finish Okay in the you

English: 
in Peru True is ascending order ABC re with each
It will do uh Mile sorting in descending order So
I'm basically looking at all the troops in alphabetical order
with the highest length first right Because this is descending
right So starting We will see later I'm in up
as off now you just need to understand how to
sort So you look you look it here I do
a head off friend e s o c It is
starting with Agnew affects a right and within Agnew it
is again starting 4.32 point for 2.2 Like this fight
for everything they are for s o that iss One
thing I want and probably we will look at one
more thing then we will finish Okay in the you

English: 
know times that we have like I will I will
look at one more thing because you see this is
very important conditionally adding columns So you want to add
a column now Adding a column will make sense if
you're doing some analytics right For example Like I said
I want to find out all the trips I want
Apply a condition So there are trips and I want
to categorize all the trips less than five miles says
short trip fighter pen Medium trip Anything more than minutes
long then that I have to add as a column
now for adding a column You can use any technique
that you want You can use normal by tone court
for a condition but hear what I have done I
imported this library called and number We'll talk about this
a little bit more so you will say important by
as MP and this is how you add a column
So you are saying that I want to add a
column called Mile Scat Okay there is a very interesting
function called n p dot where this is like a

English: 
know times that we have like I will I will
look at one more thing because you see this is
very important conditionally adding columns So you want to add
a column now Adding a column will make sense if
you're doing some analytics right For example Like I said
I want to find out all the trips I want
Apply a condition So there are trips and I want
to categorize all the trips less than five miles says
short trip fighter pen Medium trip Anything more than minutes
long then that I have to add as a column
now for adding a column You can use any technique
that you want You can use normal by tone court
for a condition but hear what I have done I
imported this library called and number We'll talk about this
a little bit more so you will say important by
as MP and this is how you add a column
So you are saying that I want to add a
column called Mile Scat Okay there is a very interesting
function called n p dot where this is like a

English: 
fella's condition what did this It is saying that if
Miles is greater than five market us long trip else
short Now you may think that what if I have
three conditions I will show you how to do that
right But right now we have a little conditions So
I'm saying that Look at the mile scar Remember this
greater and fire It's a long trip If it is
not it is a short that's all I'm giving fight
And if I run this I will show you what
is going to happen So I'll just run this Probably
do a handoff 30 Can you see now there is
a new column right Called a long trip So that
is a miles category column so each it will apply
this condition and gonna say Longpre for short report So
if you're having a cook if Els thing this NPR
where is very useful What if I have three conditions
so I want to categorize toe short medium and long

English: 
fella's condition what did this It is saying that if
Miles is greater than five market us long trip else
short Now you may think that what if I have
three conditions I will show you how to do that
right But right now we have a little conditions So
I'm saying that Look at the mile scar Remember this
greater and fire It's a long trip If it is
not it is a short that's all I'm giving fight
And if I run this I will show you what
is going to happen So I'll just run this Probably
do a handoff 30 Can you see now there is
a new column right Called a long trip So that
is a miles category column so each it will apply
this condition and gonna say Longpre for short report So
if you're having a cook if Els thing this NPR
where is very useful What if I have three conditions
so I want to categorize toe short medium and long

English: 
You can go one more in there I'll show you
how to do that You can sort of like him
and it and say that you know and it or
or it and say that this condition doesn't match this
condition and this condition So my table conditions are possible
now I don't remember exactly but I think we can
do this also Um let's say that this is not
really ah good thing to do So let's I want
to add a column Let's call it as my Yeah
I can't say and be dark I mean this number
has a lot off building methods So there is something
called the number I I d So right now what
I did I just add a little person So what
will happen everywhere It will get out of this 2000
But if you're statically adding then you need to pass
every year because this has how many columns 1000 garlands

English: 
You can go one more in there I'll show you
how to do that You can sort of like him
and it and say that you know and it or
or it and say that this condition doesn't match this
condition and this condition So my table conditions are possible
now I don't remember exactly but I think we can
do this also Um let's say that this is not
really ah good thing to do So let's I want
to add a column Let's call it as my Yeah
I can't say and be dark I mean this number
has a lot off building methods So there is something
called the number I I d So right now what
I did I just add a little person So what
will happen everywhere It will get out of this 2000
But if you're statically adding then you need to pass
every year because this has how many columns 1000 garlands

English: 
So I knew the past 1000 values here If uniquely
I need to add in then Pierre E Right now
if you get only one values just going out just
added everything I mean this is not useful if you're
writing a year but some common thing If you're writing
you can just say I push one number it will
populate that corner So now we have an extract or
them Actually you can also drop according Well see this
is hiding According You can also drop According will discuss
and pine Okay so the actual given era Let's see
2000 coma That's a 2010 right Yeah that See That's
what I'm saying So if you're passing only one it'll
just replicated anything more than burn that equal number off
Those units mention yeah or unit right Of course saying
that Really the rose and then applied So that would
be more complicated but we'll discuss NPR is NPR is
actually use cases Not this This is I'm destroying an

English: 
So I knew the past 1000 values here If uniquely
I need to add in then Pierre E Right now
if you get only one values just going out just
added everything I mean this is not useful if you're
writing a year but some common thing If you're writing
you can just say I push one number it will
populate that corner So now we have an extract or
them Actually you can also drop according Well see this
is hiding According You can also drop According will discuss
and pine Okay so the actual given era Let's see
2000 coma That's a 2010 right Yeah that See That's
what I'm saying So if you're passing only one it'll
just replicated anything more than burn that equal number off
Those units mention yeah or unit right Of course saying
that Really the rose and then applied So that would
be more complicated but we'll discuss NPR is NPR is
actually use cases Not this This is I'm destroying an

English: 
example in Paris on umpires are used for a mattress
manipulation And we will see that tomorrow Okay No no
no no This is one condition where I'm using and
Peter there because Or I can also write a normal
function So that is also I can write a function
normal fight on function on then pass and get your
way Which one Why you No So this various inside
and purely in find us We don't have a rare
condition actually So this number I library only has this
where matter Pandas doesn't support ofher matter condition right or
other ways off Adding column is that you can normally
save You can have a filter and say that the
output I need to pass it as a column Okay

English: 
example in Paris on umpires are used for a mattress
manipulation And we will see that tomorrow Okay No no
no no This is one condition where I'm using and
Peter there because Or I can also write a normal
function So that is also I can write a function
normal fight on function on then pass and get your
way Which one Why you No So this various inside
and purely in find us We don't have a rare
condition actually So this number I library only has this
where matter Pandas doesn't support ofher matter condition right or
other ways off Adding column is that you can normally
save You can have a filter and say that the
output I need to pass it as a column Okay

English: 
so I say feel better than some that is also
forcible I just thought of showing you this NPR bare
metal because that is very common because most off the
filtering you want to do any fellas kind off condition
bite If some condition is less or more we wantto
and there is also one more method I will show
probably tomorrow It's called Apply There is something on a
plate Apply is a function in our data frame where
what it can do it can take whatever logic you
are written on apply to a set off columns and
then manipulated So I will show you a couple of
examples off a play anyway But I think we are
good at like basically reading a file into a data
frame and at least a six election indexing filtering Then
what did we cover Be covered Sorting selection filtering Yeah
date format or so basics off how indexing works right
How to reset it How to save Esther data frame

English: 
so I say feel better than some that is also
forcible I just thought of showing you this NPR bare
metal because that is very common because most off the
filtering you want to do any fellas kind off condition
bite If some condition is less or more we wantto
and there is also one more method I will show
probably tomorrow It's called Apply There is something on a
plate Apply is a function in our data frame where
what it can do it can take whatever logic you
are written on apply to a set off columns and
then manipulated So I will show you a couple of
examples off a play anyway But I think we are
good at like basically reading a file into a data
frame and at least a six election indexing filtering Then
what did we cover Be covered Sorting selection filtering Yeah
date format or so basics off how indexing works right
How to reset it How to save Esther data frame

English: 
Well then when you actually worked more methods will come
Right now let me also see what we need to
cover because you have to goto parent vampires Okay Um
yeah Since you have asked So what if we want
to do this right in class assignment Create a new
column with the following conditions I'll give you a clue
huh I'll give you a clue but think if you
can figure it out how to do this right I
will write a crew for this So the clue is
very simple You will use to wear and tear out
their conditions in the first NPR bear You will say
if the distance is something you will market this long
trip Ellis what will happen else The next MP condition
will come right first in Peter Where will say if
the distance is more than Penny this long trip Okay
Aniston extend peak condition where it is medium and short

English: 
Well then when you actually worked more methods will come
Right now let me also see what we need to
cover because you have to goto parent vampires Okay Um
yeah Since you have asked So what if we want
to do this right in class assignment Create a new
column with the following conditions I'll give you a clue
huh I'll give you a clue but think if you
can figure it out how to do this right I
will write a crew for this So the clue is
very simple You will use to wear and tear out
their conditions in the first NPR bear You will say
if the distance is something you will market this long
trip Ellis what will happen else The next MP condition
will come right first in Peter Where will say if
the distance is more than Penny this long trip Okay
Aniston extend peak condition where it is medium and short

English: 
I'm getting that this go to NPR where unities That's
what Boston Peter there will say Long prepares more than
15 Ellis second and be in that he would say
medium and short Yeah yeah nesting sort of even I
want to write But But I will give you some
time Let's say if you are able to do something
So are you still afraid off my turn Like so
you were very much afraid off my turn right This
man is it Well I think it's not like you're
difficult to understand Back West Okay I also wanted to
tell you this is the marker Can you search for
this book There is a very good book In fact
an excellent book Um it's gone What by Thorn for

English: 
I'm getting that this go to NPR where unities That's
what Boston Peter there will say Long prepares more than
15 Ellis second and be in that he would say
medium and short Yeah yeah nesting sort of even I
want to write But But I will give you some
time Let's say if you are able to do something
So are you still afraid off my turn Like so
you were very much afraid off my turn right This
man is it Well I think it's not like you're
difficult to understand Back West Okay I also wanted to
tell you this is the marker Can you search for
this book There is a very good book In fact
an excellent book Um it's gone What by Thorn for

English: 
data sense Later signs by less McKinney I'm not sure
about the spelling I think despite unfortunate name is fighting
for data signs his fists McKinney Is that a book
like that You'll find a book like that Go blossom
Sorry Sorry Fight on for data analysis nor dart data
signs data analysis Right My turn for data analysis by
your best reckoning So that is a very good book
on if you really didn't like data seems and pandas
at all night And if you have anything against me
you talk to this guy He's the person who invented
later frames and Brenda's That's making me writing in this
case really turn Although I mean my people pupils were

English: 
data sense Later signs by less McKinney I'm not sure
about the spelling I think despite unfortunate name is fighting
for data signs his fists McKinney Is that a book
like that You'll find a book like that Go blossom
Sorry Sorry Fight on for data analysis nor dart data
signs data analysis Right My turn for data analysis by
your best reckoning So that is a very good book
on if you really didn't like data seems and pandas
at all night And if you have anything against me
you talk to this guy He's the person who invented
later frames and Brenda's That's making me writing in this
case really turn Although I mean my people pupils were

English: 
in If the prevalent is more than five we consider
that as well as the you know as a medium
But the fact is that we can we should be
writing less than five short trip and then you know
writing the you know first what will happen It will
check if this more than 10 That's Ah long trip
right Anything less than 10 What would happen Explanation will
come Okay so it is A party happens I need
it If it is a little for the meeting because
this more than five right it'll not go too short
Right Well it I don't know No I don't think
so That was a question I don't think I know
right Same night I don't I just wrote you guys
also check it out for this character and I'm comparing
Don't believe me Whatever I'm so best McKinney is the
person who created our data frames and pandas actually and

English: 
in If the prevalent is more than five we consider
that as well as the you know as a medium
But the fact is that we can we should be
writing less than five short trip and then you know
writing the you know first what will happen It will
check if this more than 10 That's Ah long trip
right Anything less than 10 What would happen Explanation will
come Okay so it is A party happens I need
it If it is a little for the meeting because
this more than five right it'll not go too short
Right Well it I don't know No I don't think
so That was a question I don't think I know
right Same night I don't I just wrote you guys
also check it out for this character and I'm comparing
Don't believe me Whatever I'm so best McKinney is the
person who created our data frames and pandas actually and

English: 
this book is very good If you are looking for
some reference to read actually and a very good book
so you can probably get a e copy or something
on Somebody was asking how to learn Right on Right
on Dhe I gave a couple of things First thing
is that you have about two months time because tomorrow
your statistics will start next among others Also statistics then
really You're amenable Start So this is fab right March
A pretty only thing Emma will start if I'm not
wrong I don't know whether I'm a will start along
with statistics then next month Still you have one month's
time right I think that should be more than enough
I would also be sharing some practice and assignments There
is a notebook all basics off Right on where it
talks about What is the list for this addiction or
in more detail I will share that Then some My
statements and solutions for pandas and data number So tomorrow
what is the plan I will spend one hour on
our data frames Some more conception is to be finished

English: 
this book is very good If you are looking for
some reference to read actually and a very good book
so you can probably get a e copy or something
on Somebody was asking how to learn Right on Right
on Dhe I gave a couple of things First thing
is that you have about two months time because tomorrow
your statistics will start next among others Also statistics then
really You're amenable Start So this is fab right March
A pretty only thing Emma will start if I'm not
wrong I don't know whether I'm a will start along
with statistics then next month Still you have one month's
time right I think that should be more than enough
I would also be sharing some practice and assignments There
is a notebook all basics off Right on where it
talks about What is the list for this addiction or
in more detail I will share that Then some My
statements and solutions for pandas and data number So tomorrow
what is the plan I will spend one hour on
our data frames Some more conception is to be finished

English: 
so well roughly spend an hour on data thing then
one hour I will spend on number now by The
problem is I don't have data like this See for
data frames are easy because you'll get some Hobart data
but when you're teaching them pay you don't have any
data So like one sense of rose or five something
have to create the real date I don't have so
that part You may find it a bit difficult or
isis statically create the data because the real applications are
different You need to spend some time or numb by
so probably an hour will spend or numb by on
Then we will spend some time on visualization uh Seaborn
and Mac lordly visualizations Even if you can understand four
or five types that's enough Lord off Individualization is But
even if you understand the basic 45 types that's enough
for you And then if I get time after that
probably will get I'll show you some data extraction methods

English: 
so well roughly spend an hour on data thing then
one hour I will spend on number now by The
problem is I don't have data like this See for
data frames are easy because you'll get some Hobart data
but when you're teaching them pay you don't have any
data So like one sense of rose or five something
have to create the real date I don't have so
that part You may find it a bit difficult or
isis statically create the data because the real applications are
different You need to spend some time or numb by
so probably an hour will spend or numb by on
Then we will spend some time on visualization uh Seaborn
and Mac lordly visualizations Even if you can understand four
or five types that's enough Lord off Individualization is But
even if you understand the basic 45 types that's enough
for you And then if I get time after that
probably will get I'll show you some data extraction methods

English: 
if possible like collecting the data from an A P
I so so far in the activities you know the
Heldon selection then filtering adding a column and then sorting
This is all we have been And now two more
things which are important in case off data frames one
is coiled on operation called grouping grouping The later this
is sort of like something that everybody want to do
group and then apply something on after grouping there is
something golden applying my third and data frames I'll talk
about what is this So this grouping and this apply
these two things are actually what is spending All right
on what is the idea off grouping right So normally

English: 
if possible like collecting the data from an A P
I so so far in the activities you know the
Heldon selection then filtering adding a column and then sorting
This is all we have been And now two more
things which are important in case off data frames one
is coiled on operation called grouping grouping The later this
is sort of like something that everybody want to do
group and then apply something on after grouping there is
something golden applying my third and data frames I'll talk
about what is this So this grouping and this apply
these two things are actually what is spending All right
on what is the idea off grouping right So normally

English: 
when you say grouping in the statistical terms this is
called S a C It stands for split apply and
combine split up like on biting So even though it's
a group operation we technically call it s a split
up like combine operation That's what we call Why are
you calling it a split up like combine Because when
you want to group something and I So you remember
the Wilbur date All right so we have the operator
So one common situation is that I want to group
all the rights based on the start city Somali civil
rights are there Right So my intention is I wantto
group it based on the starting city so you just
don't want to group it Right So my splitting Kahlan

English: 
when you say grouping in the statistical terms this is
called S a C It stands for split apply and
combine split up like on biting So even though it's
a group operation we technically call it s a split
up like combine operation That's what we call Why are
you calling it a split up like combine Because when
you want to group something and I So you remember
the Wilbur date All right so we have the operator
So one common situation is that I want to group
all the rights based on the start city Somali civil
rights are there Right So my intention is I wantto
group it based on the starting city so you just
don't want to group it Right So my splitting Kahlan

English: 
will be you know the starting city start location group
on then probably from each grouping location Each starting city
I want to calculate the average distance traveled so that's
hilarious New York There are 20 troops from New York
All right I want to know what is the average
lentil for trip Right So then you're applying Colon will
be again The mile escort on the apply function is
going to be mean So basically you're saying that grew
by the start column right on Then take the Miles
column for each start location say New York So my
scar animal have let's say 10 Crips 10 different distances
for New York Then apply this mean function on them
So three activities You do extra dancing When you say
group the data first to take a problem Very want
to group it on Then you find assorted So that
is why it is called split up like combine Then
you take the next corner Mary want to apply some

English: 
will be you know the starting city start location group
on then probably from each grouping location Each starting city
I want to calculate the average distance traveled so that's
hilarious New York There are 20 troops from New York
All right I want to know what is the average
lentil for trip Right So then you're applying Colon will
be again The mile escort on the apply function is
going to be mean So basically you're saying that grew
by the start column right on Then take the Miles
column for each start location say New York So my
scar animal have let's say 10 Crips 10 different distances
for New York Then apply this mean function on them
So three activities You do extra dancing When you say
group the data first to take a problem Very want
to group it on Then you find assorted So that
is why it is called split up like combine Then
you take the next corner Mary want to apply some

English: 
function In this case I'm interested in the average distance
traveled So I say mean or I can also say
what is the maximum distance traveled They can see Max
or or any function that they weren't But I can
write my own from Kim and apply the arrows That
is also possible But But this is the general logic
that you actually do for grouping And we can actually
see this Now if you're running this notebook today so
the same nor book we're using It started yesterday night
What do you need to go Since there's a fresh
day you need to import the library second Otherwise ignore
work so you can just crawl up right on You
need to first import pandas a speedy on Read this
uber later on Go ahead So do this once you
important do rd of your head and you can see
the data Then you can scroll down because these things
we were covered on if I scroll down again sorting

English: 
function In this case I'm interested in the average distance
traveled So I say mean or I can also say
what is the maximum distance traveled They can see Max
or or any function that they weren't But I can
write my own from Kim and apply the arrows That
is also possible But But this is the general logic
that you actually do for grouping And we can actually
see this Now if you're running this notebook today so
the same nor book we're using It started yesterday night
What do you need to go Since there's a fresh
day you need to import the library second Otherwise ignore
work so you can just crawl up right on You
need to first import pandas a speedy on Read this
uber later on Go ahead So do this once you
important do rd of your head and you can see
the data Then you can scroll down because these things
we were covered on if I scroll down again sorting

English: 
Harlem's grew by So what I'm gonna do I'm just
gonna insert a cell about okay And how do you
do this same thing the F dart So I'm gonna
group the data So the function is called Grew by
huh And I want a group by this start location
Okay so it'll start it on dhe Then what is
a column where I wantto calculate something that's a mile
school Um so it's in my star on Then there's
an aggregation function so I will say a G that's
my aggregation function on dhe then mean So this is
the general way off writing a grouping You will First
they grew by the new pass say one column You
can also passed more than one column So right now
I'm saying that I want to grow by start simply
pick up all the start See Agnew where that affects

English: 
Harlem's grew by So what I'm gonna do I'm just
gonna insert a cell about okay And how do you
do this same thing the F dart So I'm gonna
group the data So the function is called Grew by
huh And I want a group by this start location
Okay so it'll start it on dhe Then what is
a column where I wantto calculate something that's a mile
school Um so it's in my star on Then there's
an aggregation function so I will say a G that's
my aggregation function on dhe then mean So this is
the general way off writing a grouping You will First
they grew by the new pass say one column You
can also passed more than one column So right now
I'm saying that I want to grow by start simply
pick up all the start See Agnew where that affects

English: 
that'll be something Okay Austin So that they'll start calling
for each start I wantto calculate the average off miles
So you say miles not a G And then you
say mean so this is called the aggregation function This
a G there you can say what function you want
to call it Where does that litigation logic you won
And by the fight I think depending on the pandas
version but it supports mean median Min Max answered another
mathematical operations on If you want more you can also
use them by along with this But as off No
just for a simple calculation This is how you find
it out Now what is also interesting about this method
now it depends on the pandas version if you can
find this right Mmm You can also do this Look
at here So this is a bit confusing So normally

English: 
that'll be something Okay Austin So that they'll start calling
for each start I wantto calculate the average off miles
So you say miles not a G And then you
say mean so this is called the aggregation function This
a G there you can say what function you want
to call it Where does that litigation logic you won
And by the fight I think depending on the pandas
version but it supports mean median Min Max answered another
mathematical operations on If you want more you can also
use them by along with this But as off No
just for a simple calculation This is how you find
it out Now what is also interesting about this method
now it depends on the pandas version if you can
find this right Mmm You can also do this Look
at here So this is a bit confusing So normally

English: 
when you're doing an a g aggregation you're saying that
I want to calculate on me right But in simple
terms probably I can also do this I'm guessing Yes
So since mean is a very common operation Right Average
is a very common operation You don't have explicitly say
aggregate and then do whenever you just used to place
a mean it'll do me right But But the common
format is you say a G and then you say
mean within that that's a common for night But sometimes
if you simply say mean or so it will work
Yeah um for this So what did This is very
simple It takes one location This is Agnew A word
of it So if this has 10 clips meanest every
right what is mental It'll add it and divide by

English: 
when you're doing an a g aggregation you're saying that
I want to calculate on me right But in simple
terms probably I can also do this I'm guessing Yes
So since mean is a very common operation Right Average
is a very common operation You don't have explicitly say
aggregate and then do whenever you just used to place
a mean it'll do me right But But the common
format is you say a G and then you say
mean within that that's a common for night But sometimes
if you simply say mean or so it will work
Yeah um for this So what did This is very
simple It takes one location This is Agnew A word
of it So if this has 10 clips meanest every
right what is mental It'll add it and divide by

English: 
the total number that is needed It will pick up
the location first Agnew So you are saying that grew
by start location So first Agnew let's Agnew has spent
trips right on Then it'll pick up this court on
miles So all those 10 perhaps will have kilometres and
miles Right So 10 different kilometers it lad or those
10 divided by thin That's some inventive Okay now I
have a question for your two guests You can try
but don't try You can try and give me that
server Don't try Take a guess Okay What will happen
if I do this I just have a small question
If I remove this Miles column right I'm just saying
grew by start Just mean Do you think it'll work
Short note I really all right but it works actually
right I'm so this is a game So these are
some of these short cuts that are there So this

English: 
the total number that is needed It will pick up
the location first Agnew So you are saying that grew
by start location So first Agnew let's Agnew has spent
trips right on Then it'll pick up this court on
miles So all those 10 perhaps will have kilometres and
miles Right So 10 different kilometers it lad or those
10 divided by thin That's some inventive Okay now I
have a question for your two guests You can try
but don't try You can try and give me that
server Don't try Take a guess Okay What will happen
if I do this I just have a small question
If I remove this Miles column right I'm just saying
grew by start Just mean Do you think it'll work
Short note I really all right but it works actually
right I'm so this is a game So these are
some of these short cuts that are there So this

English: 
is so what is happening here is that you are
saying that I want to grow by start location So
you pick up start then you're saying that I just
want a mean mean off watch Well there's only one
in the corner said Cal Place I mean but if
you have my table in Metro another saying that already
low both in some occasions because it doesn't know So
for quick analysis what we do that if you're having
the data where there is only one in desert column
everything else history it understands that you cannot have a
mean on strings You say me and it is You're
probably thinking about my school Um okay I'll give you
that Miles Karl Marx So some If you see this
your toe understand that the rial query is not like
this The real career will be in Miley's daughter Did
he mean that this short You're sort of like a
shorthand notation you can see represent So sometimes for uh
you know go would be right like this Just take
the d f n Show me the mean so it
doesn't really care What does that mean So you can

English: 
is so what is happening here is that you are
saying that I want to grow by start location So
you pick up start then you're saying that I just
want a mean mean off watch Well there's only one
in the corner said Cal Place I mean but if
you have my table in Metro another saying that already
low both in some occasions because it doesn't know So
for quick analysis what we do that if you're having
the data where there is only one in desert column
everything else history it understands that you cannot have a
mean on strings You say me and it is You're
probably thinking about my school Um okay I'll give you
that Miles Karl Marx So some If you see this
your toe understand that the rial query is not like
this The real career will be in Miley's daughter Did
he mean that this short You're sort of like a
shorthand notation you can see represent So sometimes for uh
you know go would be right like this Just take
the d f n Show me the mean so it
doesn't really care What does that mean So you can

English: 
just grew by start enemy very easily We get same
same out what they will get You are interested in
something like this For example let's take uh start and
stop on Okay so we have started and stopped right
Is that a start Fordham And there's a stop Cora
Now I want to go Grew by both columns I
want that is also possible right I want to go
Grew by own start on grew by own Stop Okay
probably here I want to calculate something like a mean
or something like that on here I don't want a
mean I wantto probably calculate the min or max or
something Night So the common situation is like you have
the lights data on I wantto group the data based

English: 
just grew by start enemy very easily We get same
same out what they will get You are interested in
something like this For example let's take uh start and
stop on Okay so we have started and stopped right
Is that a start Fordham And there's a stop Cora
Now I want to go Grew by both columns I
want that is also possible right I want to go
Grew by own start on grew by own Stop Okay
probably here I want to calculate something like a mean
or something like that on here I don't want a
mean I wantto probably calculate the min or max or
something Night So the common situation is like you have
the lights data on I wantto group the data based

English: 
on these start location So for each start location I'm
interested in the mean distance traveled Okay And then I
also want to group it based on the stop location
where he was going on I want enough They stoned
the stock location which what was the longest er so
if you say max that is typically like the longest
or men can be the short district So if you
want to combine them that is also possible So how
do you write It is It's actually very simple because
again you will have your grew by column But now
what you will do is that instead of passing one
corner where do you need now You need to call
him sites Are you past two columns Yeah Within Walk
with analyst side So you will say Start start then
what I want Stop Start is a stop Stop Yeah

English: 
on these start location So for each start location I'm
interested in the mean distance traveled Okay And then I
also want to group it based on the stop location
where he was going on I want enough They stoned
the stock location which what was the longest er so
if you say max that is typically like the longest
or men can be the short district So if you
want to combine them that is also possible So how
do you write It is It's actually very simple because
again you will have your grew by column But now
what you will do is that instead of passing one
corner where do you need now You need to call
him sites Are you past two columns Yeah Within Walk
with analyst side So you will say Start start then
what I want Stop Start is a stop Stop Yeah

English: 
or let's do something interesting Probably you want toe group
between start and stop Okay on Then you want to
calculate Let's say the mean and some probably Let's say
that is the idea So what I will do everything
there dot a g so a d d It's my
aggregation grouping Columns are start and stop Age idiots My
aggregation column What do you want to do You want
to calculate the mean and some so again who values
other So how do you pass to values You can
say in a list on you can put them a
strings You can say mean and then you can see
some right on Probably I can't door dot head right
Just to see Okay this is something very interesting I
will talk about this a bit more later Like how
do you read this data right But I'll just talk
over Oh by the way there was an assignment Let

English: 
or let's do something interesting Probably you want toe group
between start and stop Okay on Then you want to
calculate Let's say the mean and some probably Let's say
that is the idea So what I will do everything
there dot a g so a d d It's my
aggregation grouping Columns are start and stop Age idiots My
aggregation column What do you want to do You want
to calculate the mean and some so again who values
other So how do you pass to values You can
say in a list on you can put them a
strings You can say mean and then you can see
some right on Probably I can't door dot head right
Just to see Okay this is something very interesting I
will talk about this a bit more later Like how
do you read this data right But I'll just talk
over Oh by the way there was an assignment Let

English: 
me just check So can you make some sense from
this output What are we getting I saw I saw
I showed you the query I wrote I sure do
the output or so what do you infer from this
What does this mean If you fear customer is asking
what is this What Will you explain How the thing
is First it will pick up start Okay then So
let's say Agnew then what will happen Yeah So for
Agnew then you have stopped locations right From Agnew You
again have stopped locations to very have traveled Right Then
it is calculating the mean on den the sum for

English: 
me just check So can you make some sense from
this output What are we getting I saw I saw
I showed you the query I wrote I sure do
the output or so what do you infer from this
What does this mean If you fear customer is asking
what is this What Will you explain How the thing
is First it will pick up start Okay then So
let's say Agnew then what will happen Yeah So for
Agnew then you have stopped locations right From Agnew You
again have stopped locations to very have traveled Right Then
it is calculating the mean on den the sum for

English: 
each right But this looks were right because the columns
are here right You look at the columns Do you
find it here Yeah it is here because this is
a nester column I'll just come back to this in
a moment I'll show you If you do our daughter
columns you can see that these column headers will be
ness ness turd So if you're presenting this in our
nice for matter Something if somebody looks at it they're
like OK so what is what you mean by this
You know if it's miles then mean then stop What
do you mean Like so you need to just reshape
the columns I'll show you how to do that But
basically what are you doing You're grouping by starting and
stopping And for each you're calculating what the mean you
have And then the sum you have mentioned Oh I
have not So it is automatically taking minds I mean
since we only one column it'll pick It s I
can also Adam ice manually It will read it That

English: 
each right But this looks were right because the columns
are here right You look at the columns Do you
find it here Yeah it is here because this is
a nester column I'll just come back to this in
a moment I'll show you If you do our daughter
columns you can see that these column headers will be
ness ness turd So if you're presenting this in our
nice for matter Something if somebody looks at it they're
like OK so what is what you mean by this
You know if it's miles then mean then stop What
do you mean Like so you need to just reshape
the columns I'll show you how to do that But
basically what are you doing You're grouping by starting and
stopping And for each you're calculating what the mean you
have And then the sum you have mentioned Oh I
have not So it is automatically taking minds I mean
since we only one column it'll pick It s I
can also Adam ice manually It will read it That

English: 
is why so previously we looked at it right So
if you look at here this command is it What
did I write Oh I've deleted it right Yeah So
if you're having only one column by default if you
calculate a mean or something it would be by default
Pick up that column But if you're having more than
one year to say miles so yeah but yeah that's
correct So ideally when you write the cardio to mention
that you're Carla Miss Mice right Yeah So they need
to save its column you want So if you have
more than one Carla then it will not automatically So
it depends on different pandas version So in one of
dependents questions what it does is that it will It
will do that for both So if you have like
four in the columns on to float Cornyn's for all
six columns it'll calculate that is also not something you
run one you aren't only specific order So you have

English: 
is why so previously we looked at it right So
if you look at here this command is it What
did I write Oh I've deleted it right Yeah So
if you're having only one column by default if you
calculate a mean or something it would be by default
Pick up that column But if you're having more than
one year to say miles so yeah but yeah that's
correct So ideally when you write the cardio to mention
that you're Carla Miss Mice right Yeah So they need
to save its column you want So if you have
more than one Carla then it will not automatically So
it depends on different pandas version So in one of
dependents questions what it does is that it will It
will do that for both So if you have like
four in the columns on to float Cornyn's for all
six columns it'll calculate that is also not something you
run one you aren't only specific order So you have

English: 
to say it grew by then The whatever problems you
want then in Squire list your present this column I
want my But anyway if you have understood this I
haven't in class assignment for you right Look at here
Can you Okay so this is against everything right You're
doping by start miles then mean And here this is
already we have done right is the same thing we
have done on You can also do like the story
start location find the mean on the total distance Traveled
for example like this So this is slightly only start
location we have In my example I calculated start and
stop this example here you have only start location I'll
show you So right now the labeling is with your
Because if you look at here you know I actually
have only four columns The 1st 2 columns are fine
But you know again here you have sort of like
an index columns that we can actually do one thing

English: 
to say it grew by then The whatever problems you
want then in Squire list your present this column I
want my But anyway if you have understood this I
haven't in class assignment for you right Look at here
Can you Okay so this is against everything right You're
doping by start miles then mean And here this is
already we have done right is the same thing we
have done on You can also do like the story
start location find the mean on the total distance Traveled
for example like this So this is slightly only start
location we have In my example I calculated start and
stop this example here you have only start location I'll
show you So right now the labeling is with your
Because if you look at here you know I actually
have only four columns The 1st 2 columns are fine
But you know again here you have sort of like
an index columns that we can actually do one thing

English: 
if you assign this to our variable If I'm assigning
the stewed ago and he fired with ago dot columns
and what what It says my P index levels andan
labels So basically what is happening is that it is
nesting It is actually in a stimulator I will show
you howto Ah you know remove it and add proper
column headers But right now can you try this in
class assignment Find the most recent on the earliest travel
date and mean distance travel for each star city So
like in every class the assignment it's more complicated than
my explanation Usually right But before you try this let's
try to understand the problem right So what do you
want to find The most recent on the earliest travel
date on mean distance travel for each Star city So

English: 
if you assign this to our variable If I'm assigning
the stewed ago and he fired with ago dot columns
and what what It says my P index levels andan
labels So basically what is happening is that it is
nesting It is actually in a stimulator I will show
you howto Ah you know remove it and add proper
column headers But right now can you try this in
class assignment Find the most recent on the earliest travel
date and mean distance travel for each star city So
like in every class the assignment it's more complicated than
my explanation Usually right But before you try this let's
try to understand the problem right So what do you
want to find The most recent on the earliest travel
date on mean distance travel for each Star city So

English: 
let us break this down What will be the group
in Gordon first So you have to say it grew
by Start Connect on then So this is a first
level Then once you group it you want to apply
some logic Whatever it is that is on where What
is your you know aggregation columns that you're talking about
No no dot a g e d S s o
That is very applied A function Not that On which
columns you won't apply the function Find the most recent
and earliest travel to watch So you have who columns
One will be bait One will be mice So the
grouping will be Start right then the aggregation columns Who

English: 
let us break this down What will be the group
in Gordon first So you have to say it grew
by Start Connect on then So this is a first
level Then once you group it you want to apply
some logic Whatever it is that is on where What
is your you know aggregation columns that you're talking about
No no dot a g e d S s o
That is very applied A function Not that On which
columns you won't apply the function Find the most recent
and earliest travel to watch So you have who columns
One will be bait One will be mice So the
grouping will be Start right then the aggregation columns Who

English: 
will be there One will be bait One will be
miles huh And then the function on miles What do
you want to apply I don't know What Er uh
Eat mean distance So here you're a g will be
worth aggregation Function will be I mean correct on date
What it'll be So we want to find out The
earliest party said earliest on most recent So we can
send Min and Max If you have a date you
can calculate the mainland Max Min date will be worth
the first right Max rate will be worth the last
right recent Right So here you can to say aggregate
You will have mean and Max So this is have

English: 
will be there One will be bait One will be
miles huh And then the function on miles What do
you want to apply I don't know What Er uh
Eat mean distance So here you're a g will be
worth aggregation Function will be I mean correct on date
What it'll be So we want to find out The
earliest party said earliest on most recent So we can
send Min and Max If you have a date you
can calculate the mainland Max Min date will be worth
the first right Max rate will be worth the last
right recent Right So here you can to say aggregate
You will have mean and Max So this is have

English: 
you break down the problem First you want to find
out what you want to grow so that is for
sure Start I won't go from eat City I want
to find something right Find Own what column Right So
on date Colon and Miles Carl Right on the Miles
column I went up like me on the date column
This part But don't try this Don't try Do There
is a trick This may not work If you write
in any way sway I mean the logic is correct
but you need to do one small thing But I'm
not talking about this My third There is one small
problem Because if you are what if you want to
work on a date This is this data string It
was a beauty dot convert to date format I probably
will help you with that because one more problem is

English: 
you break down the problem First you want to find
out what you want to grow so that is for
sure Start I won't go from eat City I want
to find something right Find Own what column Right So
on date Colon and Miles Carl Right on the Miles
column I went up like me on the date column
This part But don't try this Don't try Do There
is a trick This may not work If you write
in any way sway I mean the logic is correct
but you need to do one small thing But I'm
not talking about this My third There is one small
problem Because if you are what if you want to
work on a date This is this data string It
was a beauty dot convert to date format I probably
will help you with that because one more problem is

English: 
can you look at the last row off over earlier
stand recent earliest in recent music for stripping last year
right Yeah that is what I meant harming earliest endless
and will be saying more word No What It's morning
in my earliest trip First Didn't really central last remaining
Max right I don't Maybe my English is bad Yeah
I want to find out The first happened last trip
That is the logic Basically Right So So don't do
this The problem is unit the first convert their date
toe The state called him toe the date format because
it'll be string How do you know Because do one
thing Are you wanting create a new column and just
to uh or the D A office over this thing

English: 
can you look at the last row off over earlier
stand recent earliest in recent music for stripping last year
right Yeah that is what I meant harming earliest endless
and will be saying more word No What It's morning
in my earliest trip First Didn't really central last remaining
Max right I don't Maybe my English is bad Yeah
I want to find out The first happened last trip
That is the logic Basically Right So So don't do
this The problem is unit the first convert their date
toe The state called him toe the date format because
it'll be string How do you know Because do one
thing Are you wanting create a new column and just
to uh or the D A office over this thing

English: 
Right No it's an object for sure Start date is
an object right now If you do it the f
darch pale out Now you have Ah So what do
you understand from this I see the last roll You
don't want the last Roy's work something we run one
So from the data frame first you have to remove
their last row Okay So tell me how do you
do it B f equal to the f dart So
why don't you use I Look I want all the

English: 
Right No it's an object for sure Start date is
an object right now If you do it the f
darch pale out Now you have Ah So what do
you understand from this I see the last roll You
don't want the last Roy's work something we run one
So from the data frame first you have to remove
their last row Okay So tell me how do you
do it B f equal to the f dart So
why don't you use I Look I want all the

English: 
rose except one So the first task is that you
are removing the last row So you will say the
f word I log Colin minus one That means all
those except the last one Then again calling because I
want all the columns are And I'm not interested in
the removing any column And as I in that back
Odie if because otherwise that not effect And now if
you do a tail you can see the last row
is remote actually right now what you do gotten word
that do Look the f off Um start Porter the

English: 
rose except one So the first task is that you
are removing the last row So you will say the
f word I log Colin minus one That means all
those except the last one Then again calling because I
want all the columns are And I'm not interested in
the removing any column And as I in that back
Odie if because otherwise that not effect And now if
you do a tail you can see the last row
is remote actually right now what you do gotten word
that do Look the f off Um start Porter the

English: 
cordoning make Starlight Date star You quit to be dark
today it's dying d f off Now you can think
about the logic So now just see if you can
build it I will also help you I mean I'm
just giving you some time so probably if you can

English: 
cordoning make Starlight Date star You quit to be dark
today it's dying d f off Now you can think
about the logic So now just see if you can
build it I will also help you I mean I'm
just giving you some time so probably if you can

English: 
try it out You see Oh while writing the statement
right This one should work right Which one The I
look one Are you sure That's exactly how you typed
it Because yesterday you did it right Yesterday we converter
discord Be if this isn't list square brackets equal toe
Peary to date time There is a bracket off the
f again a square bracket Is there anybody who is
not able to do this daytime thing way We're doing
that yesterday right Whatever you're getting Nordea Simon I'm just
talking on labor converting to this Forget the assignment Yeah
So some of the problems might be you might be

English: 
try it out You see Oh while writing the statement
right This one should work right Which one The I
look one Are you sure That's exactly how you typed
it Because yesterday you did it right Yesterday we converter
discord Be if this isn't list square brackets equal toe
Peary to date time There is a bracket off the
f again a square bracket Is there anybody who is
not able to do this daytime thing way We're doing
that yesterday right Whatever you're getting Nordea Simon I'm just
talking on labor converting to this Forget the assignment Yeah
So some of the problems might be you might be

English: 
using a very recent version off Bandas Maybe so if
my lab you know sort of like removed a watch
support for my log You What So this I look
if you don't want you can use low Corso What
is your problem Because grew by corner Miss Fine We're
grouping by water that start right then The condition columns
are a bit tricky because you are saying that I
want to apply Min and Max on date and then
mean on miles Yeah So then how do you differentiate
Right So that iss you need to use a dictionary

English: 
using a very recent version off Bandas Maybe so if
my lab you know sort of like removed a watch
support for my log You What So this I look
if you don't want you can use low Corso What
is your problem Because grew by corner Miss Fine We're
grouping by water that start right then The condition columns
are a bit tricky because you are saying that I
want to apply Min and Max on date and then
mean on miles Yeah So then how do you differentiate
Right So that iss you need to use a dictionary

English: 
Day said it's slightly perky because previously I'm saying only
one So if I only one condition I can simply
say say d d call average I will do it
But if I have multiple conditions because I need to
say for a date This key I want to do
these two operations because I want to multiple and for
you know Miles I wanted only me Say five Try
to write it Let me see if I can write
it Then I will show you So I'm gonna assign
this to something like rest So how do you start
Can you help me The f dart Help me stagnate
like stock Stop knows no start date right Who said
start date You're confusing What is the sort of name
I don't I'm just asking Then you will say what

English: 
Day said it's slightly perky because previously I'm saying only
one So if I only one condition I can simply
say say d d call average I will do it
But if I have multiple conditions because I need to
say for a date This key I want to do
these two operations because I want to multiple and for
you know Miles I wanted only me Say five Try
to write it Let me see if I can write
it Then I will show you So I'm gonna assign
this to something like rest So how do you start
Can you help me The f dart Help me stagnate
like stock Stop knows no start date right Who said
start date You're confusing What is the sort of name
I don't I'm just asking Then you will say what

English: 
it should start dating It has to stop Stop Start
date is work the date I'm grouping by Work the
location Right You're grouping from brother Propose starting Right Not
from there The data starting later Such a B start
Stop Okay I just looked at here starts stuff And
now what is the technique that you want to do
You wantto pick up column and then apply the function
right So I should be doing an aggregation Right Okay
So what I will do I will call him thing
Yes So normally when you're right you will say list
off columns and then a plight But right now I

English: 
it should start dating It has to stop Stop Start
date is work the date I'm grouping by Work the
location Right You're grouping from brother Propose starting Right Not
from there The data starting later Such a B start
Stop Okay I just looked at here starts stuff And
now what is the technique that you want to do
You wantto pick up column and then apply the function
right So I should be doing an aggregation Right Okay
So what I will do I will call him thing
Yes So normally when you're right you will say list
off columns and then a plight But right now I

English: 
cannot do it because I am having won Carla mental
conditions than another parliament One condition So I need to
represent the whole thing inside a dictionary So I'm first
saying that I want to do any G okay And
I will open a dictionary Let's let me see if
it works Actually I have not tried What are the
columns Weirdo for aggregation Aggregation is a function like Sorry
Ah you will open a dictionary on Then you will
say miles Right So within this I will have miles
start And what do you want to do One miles
So you can say what I mean I can either
pass it like this or I can pass it us
a list Let me write it Okay Then I will
come back to you on what is the second thing

English: 
cannot do it because I am having won Carla mental
conditions than another parliament One condition So I need to
represent the whole thing inside a dictionary So I'm first
saying that I want to do any G okay And
I will open a dictionary Let's let me see if
it works Actually I have not tried What are the
columns Weirdo for aggregation Aggregation is a function like Sorry
Ah you will open a dictionary on Then you will
say miles Right So within this I will have miles
start And what do you want to do One miles
So you can say what I mean I can either
pass it like this or I can pass it us
a list Let me write it Okay Then I will
come back to you on what is the second thing

English: 
Start date started A star Right And here what will
be my values What you want to do I mean
calma Max Right Um you will write like this You
will say a group by Okay So normally would say
it grew by some column Okay And then you will
say I want to pick only one color Okay Except
call them too On the news there dot org And
then you will save me This is normally have you
right But here my problem is first awful I have
multiple columns So if I'm passing a column two and
a call on three Okay How do I tell that
for call Um do I need to have two things
to be calculated So I cannot write it like this
So that is whether dictionary comes into picture So they
knew writing a dictionary How that you know syntax will
change You'll against a group by this will remain the

English: 
Start date started A star Right And here what will
be my values What you want to do I mean
calma Max Right Um you will write like this You
will say a group by Okay So normally would say
it grew by some column Okay And then you will
say I want to pick only one color Okay Except
call them too On the news there dot org And
then you will save me This is normally have you
right But here my problem is first awful I have
multiple columns So if I'm passing a column two and
a call on three Okay How do I tell that
for call Um do I need to have two things
to be calculated So I cannot write it like this
So that is whether dictionary comes into picture So they
knew writing a dictionary How that you know syntax will
change You'll against a group by this will remain the

English: 
saying you will say I want to grow by this
column You will not directly call the column You will
say I want to apply an aggregation function So this
is my aggregation function on Then you say what functional
Which call of inside this So inside of this thing
you will define a dictionary This is key value pay
So here is a core long one And what are
the things I want to apply corn And so what
I want to play So can you try this and
see if you get the output Yeah way But this
is again a bit more lengthy Court if I have
only one called is easy to write suggestive a off
writing So if I have like multiple conditions that make
sense it will work even a single element Or so
you see I'm passing a list here I can pass
a single column here So here I am saying mean
it's a list I don't have to say list I

English: 
saying you will say I want to grow by this
column You will not directly call the column You will
say I want to apply an aggregation function So this
is my aggregation function on Then you say what functional
Which call of inside this So inside of this thing
you will define a dictionary This is key value pay
So here is a core long one And what are
the things I want to apply corn And so what
I want to play So can you try this and
see if you get the output Yeah way But this
is again a bit more lengthy Court if I have
only one called is easy to write suggestive a off
writing So if I have like multiple conditions that make
sense it will work even a single element Or so
you see I'm passing a list here I can pass
a single column here So here I am saying mean
it's a list I don't have to say list I

English: 
mean why I'm using it Because I want to just
maintain the same way that I'm using here So these
are some off the what you say on one thing
which is very confusing is that even this is not
something again by heart Okay in certain find ask questions
If you write something like this it'll start throwing out
Are saying that you know and listen the sinister syntax
there will be no editor But you know there is
no generalized way to say that is the only way
to write it Vital comments in taxes like this But
depending on the pandas versions sometimes what happens It'll say
that okay list or dictionary that you're passing here the
proper format has to be there So what we normally
do is that if you're having a single column you
will always follow this matter You said grew by andan
the column on Then you say aggregation But if you're
having my people columns on my deeper condition on the
columns So here the confusion is that for the start
date I need to our aggregation functions That is where

English: 
mean why I'm using it Because I want to just
maintain the same way that I'm using here So these
are some off the what you say on one thing
which is very confusing is that even this is not
something again by heart Okay in certain find ask questions
If you write something like this it'll start throwing out
Are saying that you know and listen the sinister syntax
there will be no editor But you know there is
no generalized way to say that is the only way
to write it Vital comments in taxes like this But
depending on the pandas versions sometimes what happens It'll say
that okay list or dictionary that you're passing here the
proper format has to be there So what we normally
do is that if you're having a single column you
will always follow this matter You said grew by andan
the column on Then you say aggregation But if you're
having my people columns on my deeper condition on the
columns So here the confusion is that for the start
date I need to our aggregation functions That is where

English: 
I cannot say Stardate Off Min and Max That is
where I'm defining it as addiction or otherwise I do
Oh my in the aggregation you're saying But here inside
this House of Representatives addiction of it So it has
to be a key and value So I cannot say
mine's dark mean here because this is a dictionary right
Dictionary has to have a key in value So it
has to be a key Why dictionary Because the start
date has to values So if started had only one
value I can say dodge and it should work right

English: 
I cannot say Stardate Off Min and Max That is
where I'm defining it as addiction or otherwise I do
Oh my in the aggregation you're saying But here inside
this House of Representatives addiction of it So it has
to be a key and value So I cannot say
mine's dark mean here because this is a dictionary right
Dictionary has to have a key in value So it
has to be a key Why dictionary Because the start
date has to values So if started had only one
value I can say dodge and it should work right

English: 
for both Then you won't even hear a dictionary You
can directly use the previous method right What we were
doing that that way you can do where these things
will eso what people go I'll give you some assignments
on this further than this so that you can understand
more about grouping So there is this an example But
some more simple amendments or in different columns on day
tomorrow you'll have a practice session So there you will
have around 34 hours to spend only on these things
again Like it's not always like after we finish today
The class is not over You will still have some
more time to worship and some more assignments and all
this I just want to introduce that these kind of
things are possible Um are you sure The wrist proper
number of brackets Hands in accent Okay because that might
be one reason Right Okay I struck so I just
assumed this Okay so I have a question for you
Okay I have a question to you Now I have

English: 
for both Then you won't even hear a dictionary You
can directly use the previous method right What we were
doing that that way you can do where these things
will eso what people go I'll give you some assignments
on this further than this so that you can understand
more about grouping So there is this an example But
some more simple amendments or in different columns on day
tomorrow you'll have a practice session So there you will
have around 34 hours to spend only on these things
again Like it's not always like after we finish today
The class is not over You will still have some
more time to worship and some more assignments and all
this I just want to introduce that these kind of
things are possible Um are you sure The wrist proper
number of brackets Hands in accent Okay because that might
be one reason Right Okay I struck so I just
assumed this Okay so I have a question for you
Okay I have a question to you Now I have

English: 
a question in the same example In the same example
if I wanted on Lee the average miles on the
recent report will you I want only the average miles
on the latest trip Will you write it like this
Well you can but you don't have to write Are
you getting the point You can write like this but
you don't have to write Because if I'm having only
the men nor Max I can simply call the corner
man Call it their exit like they were doing previously
All right so this dictionary notation came since we had
multiple things were passing actually Okay now somebody was asking
Ah very good question This is fine But if you
look at the output it's like beer right Because there
is like all these collector columns here So normally when
you do a grouping Nestor columns will appear in your
output So right now my data frame is called arias

English: 
a question in the same example In the same example
if I wanted on Lee the average miles on the
recent report will you I want only the average miles
on the latest trip Will you write it like this
Well you can but you don't have to write Are
you getting the point You can write like this but
you don't have to write Because if I'm having only
the men nor Max I can simply call the corner
man Call it their exit like they were doing previously
All right so this dictionary notation came since we had
multiple things were passing actually Okay now somebody was asking
Ah very good question This is fine But if you
look at the output it's like beer right Because there
is like all these collector columns here So normally when
you do a grouping Nestor columns will appear in your
output So right now my data frame is called arias

English: 
and arias Columns are like very veered So what do
you need to do it once you have done this
Okay Eso here also if you look at the start
date it is unique right There is no duplicate So
you're a grouping By what That column start Settle pickup
So in agony Oh that I like 11 trips So
Agnew's repeating 11 times but you see it only ones
it grouped All right But what you should also do
is that you should worry such index can you tell
me Why am I doing this Any idea huh Any

English: 
and arias Columns are like very veered So what do
you need to do it once you have done this
Okay Eso here also if you look at the start
date it is unique right There is no duplicate So
you're a grouping By what That column start Settle pickup
So in agony Oh that I like 11 trips So
Agnew's repeating 11 times but you see it only ones
it grouped All right But what you should also do
is that you should worry such index can you tell
me Why am I doing this Any idea huh Any

English: 
idea Why am I doing this So look at look
at the corners Now I'm gonna turn it again So
when I did a reset index what did it Previously
the index was this act new element and all That
is how it came right for netted a reset index
It started this 0123 as the index But again I'm
not happy because you know these are the different columns
I have so I can simply say Adi iss docked
columns Um equal to So what are the columns you
want first will be Stark City What is that Can
go home huh Average distance right What does that mean
Right for the third column is earliest first trip right

English: 
idea Why am I doing this So look at look
at the corners Now I'm gonna turn it again So
when I did a reset index what did it Previously
the index was this act new element and all That
is how it came right for netted a reset index
It started this 0123 as the index But again I'm
not happy because you know these are the different columns
I have so I can simply say Adi iss docked
columns Um equal to So what are the columns you
want first will be Stark City What is that Can
go home huh Average distance right What does that mean
Right for the third column is earliest first trip right

English: 
Nor the re sentry Where does that earliest trip then
what We had recent trip Please send clip happy This
is what you should do Because once you do a
girl grouping these columns will get nest stirred So you
near Italy Remove it Just add an index because there
is the super Index So this will become your index
and then you just say what columns you weren't So
now you have a proper date after him In this
form I you can have your own problems You can
work with that later by the fall the next worst
axity But I wanted I don't want that to be
the index Three sixes It will not when you're grew
by in doesn't sell it The index message indexes only
first election after drew by the output that you get

English: 
Nor the re sentry Where does that earliest trip then
what We had recent trip Please send clip happy This
is what you should do Because once you do a
girl grouping these columns will get nest stirred So you
near Italy Remove it Just add an index because there
is the super Index So this will become your index
and then you just say what columns you weren't So
now you have a proper date after him In this
form I you can have your own problems You can
work with that later by the fall the next worst
axity But I wanted I don't want that to be
the index Three sixes It will not when you're grew
by in doesn't sell it The index message indexes only
first election after drew by the output that you get

English: 
is based on which columns you selected for grouping So
buy it If all that will become the next caller
that is sort of like something So if I'm removing
these columns right let's run this again I don't know
Let's run this again See this So why does my
index now start stout This is the index starts toe
If you warned that will be the next That's fine
Maybe my requirement is like my index problem has to
be the start column That's okay for me I don't
mind but a better option will be to remove it
and add your normal index 01 toe And then you
are in the restaurant removing the column names and giving
your own names So just say whatever Carla means you
it is Yeah So this index is actually the rest
of our operations where the index actually comes into picture
for example you can take an existing column and editors

English: 
is based on which columns you selected for grouping So
buy it If all that will become the next caller
that is sort of like something So if I'm removing
these columns right let's run this again I don't know
Let's run this again See this So why does my
index now start stout This is the index starts toe
If you warned that will be the next That's fine
Maybe my requirement is like my index problem has to
be the start column That's okay for me I don't
mind but a better option will be to remove it
and add your normal index 01 toe And then you
are in the restaurant removing the column names and giving
your own names So just say whatever Carla means you
it is Yeah So this index is actually the rest
of our operations where the index actually comes into picture
for example you can take an existing column and editors

English: 
and index So in those cases you want to call
based on the next number you can do that That
is a little yeah it's not mandated So the newly
set index that he becomes a ronin standard and mixed
But in say so let's say there is a country
column I can't say the country column has to be
my index collar So my index So what Our values
are there in the country that will become my index
Then I can operate horizontally also So usually all the
operations are particularly in a data thing but there are
horizontal operations Also I can't go like when you're talking
about loc lock right What if I want to use
lock in the horizontal way So let's say I got
the data from 150 countries right and I'll order in
a day toughing now that will have a horizontal index
of 0123 Right now I want to do some calculation
where it is horizontal So then I possess select 100
Select 200 I don't know what to do So if

English: 
and index So in those cases you want to call
based on the next number you can do that That
is a little yeah it's not mandated So the newly
set index that he becomes a ronin standard and mixed
But in say so let's say there is a country
column I can't say the country column has to be
my index collar So my index So what Our values
are there in the country that will become my index
Then I can operate horizontally also So usually all the
operations are particularly in a data thing but there are
horizontal operations Also I can't go like when you're talking
about loc lock right What if I want to use
lock in the horizontal way So let's say I got
the data from 150 countries right and I'll order in
a day toughing now that will have a horizontal index
of 0123 Right now I want to do some calculation
where it is horizontal So then I possess select 100
Select 200 I don't know what to do So if

English: 
my country column is index I can't just sit there
like Japan than do something like so that for selecting
it might be important Otherwise you can leave it as
their own I will show you an example probably We
have ah sale state example where indexing might be very
useful There's a sale state example where the indexing might
be useful list It's similar limits Dictionary is if you
have a key and a set of values If I'm
using like if I'm saying that I have three columns
on I want to apply men Max on each column
Select So you have a three columns or eats garland
You are playing one aggregation function Then you can use
a list So yeah so I'm saying that I have
that revenue I have a new record Um okay then
I have another column called sales Then I have another
calling card profit Three columns out there right now on

English: 
my country column is index I can't just sit there
like Japan than do something like so that for selecting
it might be important Otherwise you can leave it as
their own I will show you an example probably We
have ah sale state example where indexing might be very
useful There's a sale state example where the indexing might
be useful list It's similar limits Dictionary is if you
have a key and a set of values If I'm
using like if I'm saying that I have three columns
on I want to apply men Max on each column
Select So you have a three columns or eats garland
You are playing one aggregation function Then you can use
a list So yeah so I'm saying that I have
that revenue I have a new record Um okay then
I have another column called sales Then I have another
calling card profit Three columns out there right now on

English: 
each column I want to apply some sort of a
mathematical function So what I can do I can pass
all of them as a single list I can say
that haven't you Sorry Where did that sales and then
profit So this is a list because this is a
set off columns on my aggregation I want to do
I can say I want to do aggregation again I
can pass That's a mean If I simply pass only
mean what will happen on all three columns mean will
be calculated All right If I want all three columns
to have different things I need to pass mean Let's
say Max that same in like this Oh so this
is two lists actually because on each corner and I'm
saying that this is what I want to go But
now my requirement is that on revenue column I want
to calculate let's say Min Max and ah me three

English: 
each column I want to apply some sort of a
mathematical function So what I can do I can pass
all of them as a single list I can say
that haven't you Sorry Where did that sales and then
profit So this is a list because this is a
set off columns on my aggregation I want to do
I can say I want to do aggregation again I
can pass That's a mean If I simply pass only
mean what will happen on all three columns mean will
be calculated All right If I want all three columns
to have different things I need to pass mean Let's
say Max that same in like this Oh so this
is two lists actually because on each corner and I'm
saying that this is what I want to go But
now my requirement is that on revenue column I want
to calculate let's say Min Max and ah me three

English: 
things So I have a revenue problem I want to
calculate the men the max on the mean three things
on the same Carla So then what I need to
remind you to use a dictionary so I will say
revenue is my key Okay on the values are I
can pass as a mean max and mean listings because
you understand right One is a call on one is
a function This is what a column that you're operating
This is what ah function you're applying So the question
is that Are you applying one function on one column
You're just interested in playing one function One column can
pass the list off columns as a list on the
function or so has a list it will apply Okay

English: 
things So I have a revenue problem I want to
calculate the men the max on the mean three things
on the same Carla So then what I need to
remind you to use a dictionary so I will say
revenue is my key Okay on the values are I
can pass as a mean max and mean listings because
you understand right One is a call on one is
a function This is what a column that you're operating
This is what ah function you're applying So the question
is that Are you applying one function on one column
You're just interested in playing one function One column can
pass the list off columns as a list on the
function or so has a list it will apply Okay

English: 
Otherwise you need to use addiction It exactly Exactly Exactly
Exactly The list is like you have 1 to 1
mapping list It's 1 to 1 more thing so I
pass a list off columns on the list of functions
1st 1st function will be applied 2nd 2nd function replay
like that But on the other hand I have 123
columns for each column I'm doing 34 functions separate I
need to say I need to map them right What
function should run in Which column So there I knew
he was a key value pit So the idea of
a key value Paris air for one key you have
three values So all three things will be applied for
this in this example All right so if you're passing
as a list one no one will be applied Yes
And profit men will be applied Exactly But otherwise if
I have my people I'll say dictionary is the key

English: 
Otherwise you need to use addiction It exactly Exactly Exactly
Exactly The list is like you have 1 to 1
mapping list It's 1 to 1 more thing so I
pass a list off columns on the list of functions
1st 1st function will be applied 2nd 2nd function replay
like that But on the other hand I have 123
columns for each column I'm doing 34 functions separate I
need to say I need to map them right What
function should run in Which column So there I knew
he was a key value pit So the idea of
a key value Paris air for one key you have
three values So all three things will be applied for
this in this example All right so if you're passing
as a list one no one will be applied Yes
And profit men will be applied Exactly But otherwise if
I have my people I'll say dictionary is the key

English: 
These other values and they're not like Yeah you can
drop me Did right Well we didn't do okay but
if I drop it here then it may not be
good light because my intention is to keep index starting
from zero So in the original Okay So he had
Ah give me one moment Just come in This So
here you have the grouping from here We wondered Robbed
Index on the building Yes Our audience is here Yes

English: 
These other values and they're not like Yeah you can
drop me Did right Well we didn't do okay but
if I drop it here then it may not be
good light because my intention is to keep index starting
from zero So in the original Okay So he had
Ah give me one moment Just come in This So
here you have the grouping from here We wondered Robbed
Index on the building Yes Our audience is here Yes

English: 
Yeah the nexus Start Stop This'll saying Okay Okay So
you're saying that only after this you're able to add
the columns right now Even without that also you can
do What do you think he is Which one did
you s So now you have our years Or now
you're saying I will you be able to do this
You are asking you Let's try it No that cannot
be So what Anything linked mismatch Expected Access has three
elements New value has four elements So what It actually
stays Why Dissing the value has four elements Okay let
me show you this Um uh What is that Arias
Light party Yes Dodge Obvious dark forums Oh I need

English: 
Yeah the nexus Start Stop This'll saying Okay Okay So
you're saying that only after this you're able to add
the columns right now Even without that also you can
do What do you think he is Which one did
you s So now you have our years Or now
you're saying I will you be able to do this
You are asking you Let's try it No that cannot
be So what Anything linked mismatch Expected Access has three
elements New value has four elements So what It actually
stays Why Dissing the value has four elements Okay let
me show you this Um uh What is that Arias
Light party Yes Dodge Obvious dark forums Oh I need

English: 
to Exactly So let me just put in this Okay
Uh so when you look at uh this uh mighty
index Right So 123 So actually are having three columns
in this after grouping Even though you see multiple columns
it is all Nestor So if you look at the
you know number off your limbs you have here you
have something called levels It is speaking This has one
column then this Max mean minute is speaking as an
investor column on then this labor cities picking us another
corner So you are having three columns and you're saying
that I want Oh you know I have four columns
for my data from that is where Dave is saying
that value doesn't match So you need to reset the
index You're to first say every seven decks so properly
ad and index Okay And then the corners and then
only you can know removed So did you guys understand

English: 
to Exactly So let me just put in this Okay
Uh so when you look at uh this uh mighty
index Right So 123 So actually are having three columns
in this after grouping Even though you see multiple columns
it is all Nestor So if you look at the
you know number off your limbs you have here you
have something called levels It is speaking This has one
column then this Max mean minute is speaking as an
investor column on then this labor cities picking us another
corner So you are having three columns and you're saying
that I want Oh you know I have four columns
for my data from that is where Dave is saying
that value doesn't match So you need to reset the
index You're to first say every seven decks so properly
ad and index Okay And then the corners and then
only you can know removed So did you guys understand

English: 
this after you group it after So this is the
grouping result Right after the grouping If you look at
the columns these are record Um So how many corners
You have Three columns Even though displaced like in this
fashion If you actually look at the columns it say's
my P index column So this is not your normal
corner This is not your normal cord Um it doesn't
indexing So it is saying that on one level you
are having miles and started So what was the grouping
column What did we grew by start date right So
start date is there Then you have what miles miles
is watch very recalculating the average right distance traveled Right
Then it is saying that you're passing this max Mean
men These are the operations you were doing on date
And the other thing on Bennett is assigning some labels
or so for each column So when you look at
the core limbs off your grouping output you will see

English: 
this after you group it after So this is the
grouping result Right after the grouping If you look at
the columns these are record Um So how many corners
You have Three columns Even though displaced like in this
fashion If you actually look at the columns it say's
my P index column So this is not your normal
corner This is not your normal cord Um it doesn't
indexing So it is saying that on one level you
are having miles and started So what was the grouping
column What did we grew by start date right So
start date is there Then you have what miles miles
is watch very recalculating the average right distance traveled Right
Then it is saying that you're passing this max Mean
men These are the operations you were doing on date
And the other thing on Bennett is assigning some labels
or so for each column So when you look at
the core limbs off your grouping output you will see

English: 
that at three columns on dhe I cannot directly change
it That is what I'm saying That I want to
reset the whole index off my columns So when you
run reset index what it will eventually does that It
will add a column for index starting with 0123 on
Then level your columns on Then you will be able
to add that my custom car running water What I
like No Which one Let me see So this is
after leveling Right So I will go Where our Yes
Reset index Right now you fire on arias knife Iran
Arias You have this index and then these columns 1234
columns So you want to drop this You can say
drop in Dexter's airdrop index But then what will be
there doing days Okay so after you're leaning So let's

English: 
that at three columns on dhe I cannot directly change
it That is what I'm saying That I want to
reset the whole index off my columns So when you
run reset index what it will eventually does that It
will add a column for index starting with 0123 on
Then level your columns on Then you will be able
to add that my custom car running water What I
like No Which one Let me see So this is
after leveling Right So I will go Where our Yes
Reset index Right now you fire on arias knife Iran
Arias You have this index and then these columns 1234
columns So you want to drop this You can say
drop in Dexter's airdrop index But then what will be
there doing days Okay so after you're leaning So let's

English: 
say you are adding this column Right Let's say we're
adding these columns than any way that is gone right
Where is it Okay from here You want to remove
this index right I don't think that it's possible No
because our data free must have an index If you're
removing this then what will happen Your Star City will
become the in next Carly Now there is no way
you can So that is in the first class I
told you right Data frame is not like your Excel
sheet in an Excel sheet You have only columns You
don't have a row All right he fired Remove it
or drop it How do you use I look on
horizontally or local horizontally How do you access a role
Not possible right If somehow I like Sam dropping the
index Okay then how do I say I want only

English: 
say you are adding this column Right Let's say we're
adding these columns than any way that is gone right
Where is it Okay from here You want to remove
this index right I don't think that it's possible No
because our data free must have an index If you're
removing this then what will happen Your Star City will
become the in next Carly Now there is no way
you can So that is in the first class I
told you right Data frame is not like your Excel
sheet in an Excel sheet You have only columns You
don't have a row All right he fired Remove it
or drop it How do you use I look on
horizontally or local horizontally How do you access a role
Not possible right If somehow I like Sam dropping the
index Okay then how do I say I want only

English: 
the third column or fourth column Not possible Right Knock
or bits of it No no no She's saying I
run wanting dicks at all I want to remove Index
that is not force of light Wait so this I
can keep my index If I want I can keep
this es mi OK so she's saying that I want
to hire this right I want to remove this So
I don't think that it's possible because you have called
him in Texas and growing mixes Call I'm index A
circle of names Ruined access by the four start from
0123 If I want I can take a courtroom and
say that I won't distribute or index but whichever way
I mean it's just needed right for accessing so I
don't think it is possible to completely remove the index
Then how do you say that I want the fifth
row There should be somewhere to say that I want
the fifth row lie So this number has to be

English: 
the third column or fourth column Not possible Right Knock
or bits of it No no no She's saying I
run wanting dicks at all I want to remove Index
that is not force of light Wait so this I
can keep my index If I want I can keep
this es mi OK so she's saying that I want
to hire this right I want to remove this So
I don't think that it's possible because you have called
him in Texas and growing mixes Call I'm index A
circle of names Ruined access by the four start from
0123 If I want I can take a courtroom and
say that I won't distribute or index but whichever way
I mean it's just needed right for accessing so I
don't think it is possible to completely remove the index
Then how do you say that I want the fifth
row There should be somewhere to say that I want
the fifth row lie So this number has to be

English: 
here in one week I have another data said probably
I will show you how you can select a particular
column and then probably make it as an index if
you want So I just want probably this Carla my
spine X But one more thing I'll tell you uh
you can try that if you save this SS C'est
refile Do you think this is Robin to three Welcome
I'm not quite sure about it Can you try How
do you save it You say beauty 0.2 CSB USCs
tree fell Can you try it right away Create this
You have this row 123 Okay And then you say
beauty dot to underscore CSP on in the brackets in

English: 
here in one week I have another data said probably
I will show you how you can select a particular
column and then probably make it as an index if
you want So I just want probably this Carla my
spine X But one more thing I'll tell you uh
you can try that if you save this SS C'est
refile Do you think this is Robin to three Welcome
I'm not quite sure about it Can you try How
do you save it You say beauty 0.2 CSB USCs
tree fell Can you try it right away Create this
You have this row 123 Okay And then you say
beauty dot to underscore CSP on in the brackets in

English: 
double courts UCSB filing the only ideas that is only
one which is spending right So in fact directly If
you do like this it's very difficult to access the
rows and columns because they have an estate right That
is why we have saying that had an index and
do proper colonies Which one That is in next column
Now you're on half So it is picking The first
column is index column Now let his way So the
news said Carl um city not usually show that right
So in this data offering that s the So you
can try to do in my local lock on that

English: 
double courts UCSB filing the only ideas that is only
one which is spending right So in fact directly If
you do like this it's very difficult to access the
rows and columns because they have an estate right That
is why we have saying that had an index and
do proper colonies Which one That is in next column
Now you're on half So it is picking The first
column is index column Now let his way So the
news said Carl um city not usually show that right
So in this data offering that s the So you
can try to do in my local lock on that

English: 
coordinate give you so if the requirement is like that
you can keep it like that I want that column
tohave my index problem But that will not be calculated
in my actual data that will not commencing index column
is not part of your data right So that it
is not showing right So in this example that this
government in order the first column is like an index
card That is why you're not seeing it But that
is bad because I want that in my data back
That's why I'm saying that we said index because I
want my own index card Um so this will be
pushed aside Regular column starts trouble Come on Regular cola
then I can just rename and keep it for me
huh So can you save it doesn't see us me
and tell me what you see Not taking it Should
take Right Uh let me run this Okay I commander

English: 
coordinate give you so if the requirement is like that
you can keep it like that I want that column
tohave my index problem But that will not be calculated
in my actual data that will not commencing index column
is not part of your data right So that it
is not showing right So in this example that this
government in order the first column is like an index
card That is why you're not seeing it But that
is bad because I want that in my data back
That's why I'm saying that we said index because I
want my own index card Um so this will be
pushed aside Regular column starts trouble Come on Regular cola
then I can just rename and keep it for me
huh So can you save it doesn't see us me
and tell me what you see Not taking it Should
take Right Uh let me run this Okay I commander

English: 
this okay I forgot I think it was two CSB
right Arias dart It will take right Can you see
my screen That is a good place if you come
here So this will be your workplace workspace So this
is your rule directory and just download it So this
is my C s V And if I open that
let me see what we have Um oh I can't
even open it No no that's not a problem of

English: 
this okay I forgot I think it was two CSB
right Arias dart It will take right Can you see
my screen That is a good place if you come
here So this will be your workplace workspace So this
is your rule directory and just download it So this
is my C s V And if I open that
let me see what we have Um oh I can't
even open it No no that's not a problem of

English: 
the fighting index Welcome And no saving it So this
you have to uh you know here you can probably
if you want you can hide I'm saying I'm saying
in the in the data frame perspective I may not
want to hide because I want to access them So
I want to say from five or 10 I need
the data So but in the X element I get
I don't want this column because I know how to
get their time Except so I can either delete it
or hide it from Except when you're saving it Finally
even I'm not 100% actually if you're saving it probably
there's an argument removing Dixon saving yours probably far right
It'll remove it Right There is an argument So when
you're saving it But when you're working in the data
frame your own want to rebuild index because then how
do you access the rose That is It's not possible
right What Yeah there is no nothing So this index
was added automatically when you read it out loud In

English: 
the fighting index Welcome And no saving it So this
you have to uh you know here you can probably
if you want you can hide I'm saying I'm saying
in the in the data frame perspective I may not
want to hide because I want to access them So
I want to say from five or 10 I need
the data So but in the X element I get
I don't want this column because I know how to
get their time Except so I can either delete it
or hide it from Except when you're saving it Finally
even I'm not 100% actually if you're saving it probably
there's an argument removing Dixon saving yours probably far right
It'll remove it Right There is an argument So when
you're saving it But when you're working in the data
frame your own want to rebuild index because then how
do you access the rose That is It's not possible
right What Yeah there is no nothing So this index
was added automatically when you read it out loud In

English: 
order you can try that Check it see how the
data looks like when you save it for later Right
So guys in the end of time I'll move to
the next topic as off Now we're done with grouping
Okay I'll give you more Examples were also clear Some
doubts Off line I just want to finish one more
topic before we go Toe nam pie and other kind
of topics Right So um looping We will look into
that Yes So I have a look at here This
is a very simple example Probably You know So this
is something that we do We did not go in
depth in tow control structures in python like four loops
he flips and Roy But something very commonly use that

English: 
order you can try that Check it see how the
data looks like when you save it for later Right
So guys in the end of time I'll move to
the next topic as off Now we're done with grouping
Okay I'll give you more Examples were also clear Some
doubts Off line I just want to finish one more
topic before we go Toe nam pie and other kind
of topics Right So um looping We will look into
that Yes So I have a look at here This
is a very simple example Probably You know So this
is something that we do We did not go in
depth in tow control structures in python like four loops
he flips and Roy But something very commonly use that

English: 
if you have a list like this right I can
open something called a four loop So I'm saying that
for I in temp So when you say for I
will pick up each number one by one I'm saying
that our yes dot happened yesterday Shorty right up and
you can add something And I'm saying I I and
then I'm returning arias So arias is an empty list
Basically what this is happening is that this four Lupul
pick up each number might apply the number by itself
on added to this empty list So if I run
this you can also run You will basically get a
149 16 So instead of 1234 each number will be
my people It's a simple for Luke Nothing So in
Piketon it's very common that if you wantto work through
a list and do some action you write a four
look because programmatically you can say that for every element
I want to do something and this is one way
of doing it And that is the same thing That

English: 
if you have a list like this right I can
open something called a four loop So I'm saying that
for I in temp So when you say for I
will pick up each number one by one I'm saying
that our yes dot happened yesterday Shorty right up and
you can add something And I'm saying I I and
then I'm returning arias So arias is an empty list
Basically what this is happening is that this four Lupul
pick up each number might apply the number by itself
on added to this empty list So if I run
this you can also run You will basically get a
149 16 So instead of 1234 each number will be
my people It's a simple for Luke Nothing So in
Piketon it's very common that if you wantto work through
a list and do some action you write a four
look because programmatically you can say that for every element
I want to do something and this is one way
of doing it And that is the same thing That

English: 
is also something called list comprehension So look at this
example So here what we're doing is called a list
comprehension The same our technique I can just open a
list within the list I can say ex star X
for X intent So basically I'm saying that take every
element in temp and then multiplied by itself So this
is probably the long long way like this court is
very lengthy but the same court I can write this
is called list comprehension So very commonly And by Tony
will see this you will see a list on within
the list they could ever reported a four loop That
means that loop is running inside the list Go to
manipulate the elements That's coolest comprehension This technique See you
for as many elements other on the list So this
ecstatic for X in tempt them business thing But your
original uh work laced right heart temples here All right
And what is the difference between our four loop end

English: 
is also something called list comprehension So look at this
example So here what we're doing is called a list
comprehension The same our technique I can just open a
list within the list I can say ex star X
for X intent So basically I'm saying that take every
element in temp and then multiplied by itself So this
is probably the long long way like this court is
very lengthy but the same court I can write this
is called list comprehension So very commonly And by Tony
will see this you will see a list on within
the list they could ever reported a four loop That
means that loop is running inside the list Go to
manipulate the elements That's coolest comprehension This technique See you
for as many elements other on the list So this
ecstatic for X in tempt them business thing But your
original uh work laced right heart temples here All right
And what is the difference between our four loop end

English: 
of I loop I give you some examples but yeah
or enough while can become a near indefinitely four Luke
can never become an indefinitely It is always 6 30
You will never end up in an infinite loop in
a four loop I mean why Look there is a
chance I'm saying why is greater than zero then some
number then you keep on learning for infinity right now
I want you to do one thing There is a
data set I want you to upload Can you open
your data You downloaded yesterday Uh final invite on files
There's a file core store sales Can you see Can

English: 
of I loop I give you some examples but yeah
or enough while can become a near indefinitely four Luke
can never become an indefinitely It is always 6 30
You will never end up in an infinite loop in
a four loop I mean why Look there is a
chance I'm saying why is greater than zero then some
number then you keep on learning for infinity right now
I want you to do one thing There is a
data set I want you to upload Can you open
your data You downloaded yesterday Uh final invite on files
There's a file core store sales Can you see Can

English: 
you rename the file Just keep it a store sales
to remove the one and upload that in tow You
are bite on like this So here I have uploaded
Can you see store sales See So once you upload
it you come back here and you should be able
to read it like this So can you read it
And this is a very interesting data set because ah
here we are having a store I d So you
have like s one s two s three upto some
100 stores There is a city for where each stories
and then there's like months Jan Feb March extra on
sales in thousands So there's like $1000 $20,000 except tracks
a trap Right So this data is particularly interesting because
here there is a horizontal way off working it And
there is a particularly off working it right Like Like
you can look at it both ways So basically we're
having story least in the cities and in the months

English: 
you rename the file Just keep it a store sales
to remove the one and upload that in tow You
are bite on like this So here I have uploaded
Can you see store sales See So once you upload
it you come back here and you should be able
to read it like this So can you read it
And this is a very interesting data set because ah
here we are having a store I d So you
have like s one s two s three upto some
100 stores There is a city for where each stories
and then there's like months Jan Feb March extra on
sales in thousands So there's like $1000 $20,000 except tracks
a trap Right So this data is particularly interesting because
here there is a horizontal way off working it And
there is a particularly off working it right Like Like
you can look at it both ways So basically we're
having story least in the cities and in the months

English: 
and the story that you have so agreeable to read
it What is not defined We read our UCS Me
You might sort of be important Unless if not do
this right for me It is working Okay Renamed the
file No store sales or give the store sells one
No no I thought he didn't do it so I
just added it not required Now first time you important
pandas right Then it is not required Are you reading
the firelight And then you're going ahead Ok Okay so

English: 
and the story that you have so agreeable to read
it What is not defined We read our UCS Me
You might sort of be important Unless if not do
this right for me It is working Okay Renamed the
file No store sales or give the store sells one
No no I thought he didn't do it so I
just added it not required Now first time you important
pandas right Then it is not required Are you reading
the firelight And then you're going ahead Ok Okay so

English: 
So tell me one thing Tell me one thing I
just want to calculate the average sale for Jan Maan
What will you do only for Jan meant I want
to calculate the average sale E Cross Dan called Um
I won the average so you can say store sales
then what do you want to grow by I can't
say Sure Blood Right So I'm just interested in calculating
the average or the mean for Jan The easiest way
to do that will be you can just also I
think some summer I thought some of you might ask
me but nobody asked What is the speciality in this

English: 
So tell me one thing Tell me one thing I
just want to calculate the average sale for Jan Maan
What will you do only for Jan meant I want
to calculate the average sale E Cross Dan called Um
I won the average so you can say store sales
then what do you want to grow by I can't
say Sure Blood Right So I'm just interested in calculating
the average or the mean for Jan The easiest way
to do that will be you can just also I
think some summer I thought some of you might ask
me but nobody asked What is the speciality in this

English: 
court Is that anything interesting that you find Well I
think it's ready We discussed So normally you have to
say store sales dot lock off Jan I'm not using
that right s o that is like a shortcut So
ideally it has to be what not lock off Jen
But you can also suggest jam It'll pick up and
I'm just saying mean So what you get you get
the mean off all these things That's only the Jann
Carl Um right But now I'm not interested in that
I'm interested in calculating Let's say the mean off store
I d S One So probably for this store I
have like Jan Feb March all these months I just
want to calculate the average off this one thing Probably
so Yeah So store when it Since Tex Ax I
just want to operate in for his own deliberate Plus
possible right on vertical is like right now we have

English: 
court Is that anything interesting that you find Well I
think it's ready We discussed So normally you have to
say store sales dot lock off Jan I'm not using
that right s o that is like a shortcut So
ideally it has to be what not lock off Jen
But you can also suggest jam It'll pick up and
I'm just saying mean So what you get you get
the mean off all these things That's only the Jann
Carl Um right But now I'm not interested in that
I'm interested in calculating Let's say the mean off store
I d S One So probably for this store I
have like Jan Feb March all these months I just
want to calculate the average off this one thing Probably
so Yeah So store when it Since Tex Ax I
just want to operate in for his own deliberate Plus
possible right on vertical is like right now we have

English: 
picked up on Lee Jan Maybe I'm interested in picking
up multiple columns also so let's see how to do
this So one interesting function that I want to introduce
to you now this might depend on our pandas version
It's called the apply function so I can simply say
store sales thought apply Okay so applies the function Okay
And you can simply say mean so can you take
a guess What happened if I ran this Yes So
basically applies a special function we used on within a
play You need to say what you need to go
So here I am saying mean what it did was
that it pick up each month and then calculated that

English: 
picked up on Lee Jan Maybe I'm interested in picking
up multiple columns also so let's see how to do
this So one interesting function that I want to introduce
to you now this might depend on our pandas version
It's called the apply function so I can simply say
store sales thought apply Okay so applies the function Okay
And you can simply say mean so can you take
a guess What happened if I ran this Yes So
basically applies a special function we used on within a
play You need to say what you need to go
So here I am saying mean what it did was
that it pick up each month and then calculated that

English: 
I mean is there anybody for whom this is not
working Throwing another You might just run only this Yeah
uh if you're getting this output is fine at raising
getting in a red then sometimes you may get another
saying that some paradise version this directly But not because
Can you tell me why it might give an error
So right now you're getting it Fine So if you
think about it what this technique will go It will
pick up each column on then apply Mean But then
what is the problem We have a core limit Is
string right So in some pandas versions what will happen
if you run This will throw another It'll say that
I'm tryingto calculating uniform or corland But the second column
is a string so I don't know what to do

English: 
I mean is there anybody for whom this is not
working Throwing another You might just run only this Yeah
uh if you're getting this output is fine at raising
getting in a red then sometimes you may get another
saying that some paradise version this directly But not because
Can you tell me why it might give an error
So right now you're getting it Fine So if you
think about it what this technique will go It will
pick up each column on then apply Mean But then
what is the problem We have a core limit Is
string right So in some pandas versions what will happen
if you run This will throw another It'll say that
I'm tryingto calculating uniform or corland But the second column
is a string so I don't know what to do

English: 
So I will show you what you need to do
that because that might be very handy So there you
have a command called select data types So you can
say that include only in desire and float Dorn considered
string But if it is working fine Then it is
fine Now what if I want to do it horizontally
right For example right now you did this on I
want to calculate for store I D s one mean
I mean for the year Jan Feb March April Right
So this is what for s when I won all
the mean horizontally That is also possible right For one
particular store I'm interested in the yearly average Then you
can simply say coma access door So there is a
concept off access There is an access zero and then
the reserve access one Access one will be ruled wise

English: 
So I will show you what you need to do
that because that might be very handy So there you
have a command called select data types So you can
say that include only in desire and float Dorn considered
string But if it is working fine Then it is
fine Now what if I want to do it horizontally
right For example right now you did this on I
want to calculate for store I D s one mean
I mean for the year Jan Feb March April Right
So this is what for s when I won all
the mean horizontally That is also possible right For one
particular store I'm interested in the yearly average Then you
can simply say coma access door So there is a
concept off access There is an access zero and then
the reserve access one Access one will be ruled wise

English: 
Access road will be Carla Mice bite before the discord
Um anyway so if I say access equal to sort
out what will happen Gordon silicon by default it is
this I can't access equal to one that will be
each row It'll calculate their mean But this apply function
is not used for these kind of things because this
is like calculating the mean that is like very common
But you can also have a bit more complicated functions
In a polite we will see that Okay Access oneness
rope are always so for each store it is calculating
the mean off this line That is what you see
here Accessorize Carla Yeah So it is very rare that
you want to go up Even you might want to

English: 
Access road will be Carla Mice bite before the discord
Um anyway so if I say access equal to sort
out what will happen Gordon silicon by default it is
this I can't access equal to one that will be
each row It'll calculate their mean But this apply function
is not used for these kind of things because this
is like calculating the mean that is like very common
But you can also have a bit more complicated functions
In a polite we will see that Okay Access oneness
rope are always so for each store it is calculating
the mean off this line That is what you see
here Accessorize Carla Yeah So it is very rare that
you want to go up Even you might want to

English: 
add us Yeah So where I need to check whether
the hiding a column is easy and removing a column
is also easy I need to check because it is
how No columns as possible through this one Yes I'll
show you how about it The freaky blacks says you
controlling the scene Work done for court Yeah access the
racecourse by default of this column by default If you
simply call it work colonize the apply function works colonize
that equal to access it so you won't have to
explicitly right access it It calculates But But what I'm
saying is that in many cases for have seen when
you start working in production probably you will have a
date a frame that will have a mixture off string

English: 
add us Yeah So where I need to check whether
the hiding a column is easy and removing a column
is also easy I need to check because it is
how No columns as possible through this one Yes I'll
show you how about it The freaky blacks says you
controlling the scene Work done for court Yeah access the
racecourse by default of this column by default If you
simply call it work colonize the apply function works colonize
that equal to access it so you won't have to
explicitly right access it It calculates But But what I'm
saying is that in many cases for have seen when
you start working in production probably you will have a
date a frame that will have a mixture off string

English: 
then floor than indigent and so many other columns So
sometimes when you simply call the apply function that they
were doing like mean it'll throw another saying that I
was trying to calculate it but I encountered like they're
not with the string columns which I don't know what
to do So there you need to use a small
technique I will see if it works I'm not quite
sure Uh so you have to say mean no So
I will show you how to do is directly You
cannot Okay here it is just the mean off the
whole each calamitous calculating the whole mean or each room
Ah so story ideas work safety stream right It is
not considering right now But I'm saying that sometimes you
will see that you have a string column It'll throw

English: 
then floor than indigent and so many other columns So
sometimes when you simply call the apply function that they
were doing like mean it'll throw another saying that I
was trying to calculate it but I encountered like they're
not with the string columns which I don't know what
to do So there you need to use a small
technique I will see if it works I'm not quite
sure Uh so you have to say mean no So
I will show you how to do is directly You
cannot Okay here it is just the mean off the
whole each calamitous calculating the whole mean or each room
Ah so story ideas work safety stream right It is
not considering right now But I'm saying that sometimes you
will see that you have a string column It'll throw

English: 
up another saying that I cannot convert In case if
it occurs what you need to do I'll come back
your question Okay In a moment you have to say
uh large select the types to say include old I
think you can mention like this Let's say in teacher
64 former float 64 Nice Give me one moment Okay
Yes So just make a note off this because this
is not something that you see normally But if you're
getting another saying that I'm not able to calculate the
mean You just had this thing Celik Day types you
can say including dessert 64 I mean whichever So this
will say that I want only in digit it law

English: 
up another saying that I cannot convert In case if
it occurs what you need to do I'll come back
your question Okay In a moment you have to say
uh large select the types to say include old I
think you can mention like this Let's say in teacher
64 former float 64 Nice Give me one moment Okay
Yes So just make a note off this because this
is not something that you see normally But if you're
getting another saying that I'm not able to calculate the
mean You just had this thing Celik Day types you
can say including dessert 64 I mean whichever So this
will say that I want only in digit it law

English: 
forcefully or made the string columns All right I'll show
you Just give me a moment Playing huh Aggregated see
Apply is a function which will work roll by San
Carla voice So they're in apply It is not directly
possible to say that I want to apply only on
selected rages I will show you how to do that
in a G It is an aggregation function So where
a GI Bill work is that First you will group
it on Then on that you're saying that I want
to play a function So this is like in a
common data frame I want rows and columns to be
done Something This is how you do it This one

English: 
forcefully or made the string columns All right I'll show
you Just give me a moment Playing huh Aggregated see
Apply is a function which will work roll by San
Carla voice So they're in apply It is not directly
possible to say that I want to apply only on
selected rages I will show you how to do that
in a G It is an aggregation function So where
a GI Bill work is that First you will group
it on Then on that you're saying that I want
to play a function So this is like in a
common data frame I want rows and columns to be
done Something This is how you do it This one

English: 
was like straight People wanted to unit group Then it
will not work So that's what I'm saying Apply is
something which normally takes a function like me You know
something in a place to either hold rose or hold
corner columns that is idea I never show you where
that actually matters where that condition welcome so grew by
and then the function that you are writing That is
where I want to group something they're not then you
know probably aggregation function I want to write So for
that aggregation the laws it is that first time combining
or the so can you try to find out the
city vice sales Probably can you know grew by what
city I wantedto grew by city Then what So I
want to groove the stores by city on dhe then

English: 
was like straight People wanted to unit group Then it
will not work So that's what I'm saying Apply is
something which normally takes a function like me You know
something in a place to either hold rose or hold
corner columns that is idea I never show you where
that actually matters where that condition welcome so grew by
and then the function that you are writing That is
where I want to group something they're not then you
know probably aggregation function I want to write So for
that aggregation the laws it is that first time combining
or the so can you try to find out the
city vice sales Probably can you know grew by what
city I wantedto grew by city Then what So I
want to groove the stores by city on dhe then

English: 
want to calculate word probably average or means say can
you try to do that What I'm saying usually leaving
you apply the apply function If you have string and
in desert it will omit in business But in some
pandas which little notch it will try to calculate the
strings mean and throwing error saying that I cannot find
out what is the mean off a string So there

English: 
want to calculate word probably average or means say can
you try to do that What I'm saying usually leaving
you apply the apply function If you have string and
in desert it will omit in business But in some
pandas which little notch it will try to calculate the
strings mean and throwing error saying that I cannot find
out what is the mean off a string So there

English: 
you need to say But still you cannot write because
the end goal is that you take the value and
calculate the mean or whatever you want So if my
values are our string I try to do a mean
I will not get anything right It'll throw another So
I didn't get your situation Where will be such a
situation Come can you give me an example where you
have a problem name as a Okay fine But that'll
be string only right They don't be numerous Uh yeah
So now you tell me what you will do It's
like using Okay So there is a question he's saying
there is a column Let's say the column miss Watch
sales There is a sales column Okay This is defined
as a uh What In the right Three string Carla

English: 
you need to say But still you cannot write because
the end goal is that you take the value and
calculate the mean or whatever you want So if my
values are our string I try to do a mean
I will not get anything right It'll throw another So
I didn't get your situation Where will be such a
situation Come can you give me an example where you
have a problem name as a Okay fine But that'll
be string only right They don't be numerous Uh yeah
So now you tell me what you will do It's
like using Okay So there is a question he's saying
there is a column Let's say the column miss Watch
sales There is a sales column Okay This is defined
as a uh What In the right Three string Carla

English: 
this is a string column Okay But inside the values
are in digital For example How 3.33 What is the
solution I do indeed I'd be just discussed today Morning
Cordelia started it Lard it Will it having so in
my version off fantastical award that Carla permit that because
it is a string corner because it is looking at
those numbers But they are within the courts right under
them A string string Certainly Be types arty types daughter
d types Now they apply function works on the horn
All the columns are or the roost So usually the
idea is that if you want to select certain corns
and do it either you need a subset It OK

English: 
this is a string column Okay But inside the values
are in digital For example How 3.33 What is the
solution I do indeed I'd be just discussed today Morning
Cordelia started it Lard it Will it having so in
my version off fantastical award that Carla permit that because
it is a string corner because it is looking at
those numbers But they are within the courts right under
them A string string Certainly Be types arty types daughter
d types Now they apply function works on the horn
All the columns are or the roost So usually the
idea is that if you want to select certain corns
and do it either you need a subset It OK

English: 
All you can say group it and then e show
you So this is not a play function This is
simply the means I was asking You know if you
have a date a frame like this Ah play function
usually votes on hold Rose and whole columns Not like
selector ones Right on One thing I showed us how
to play the mean Actually but some more interesting example
will be So let me show you this Probably rather
than discussing I'll just show an example Insert a cell
about Yeah So have a look at here guys Do
you know how to define a function in python so
normally If you want to define a function let's I
want to define a function like ad I will say
you can say a coma Be I want to pass

English: 
All you can say group it and then e show
you So this is not a play function This is
simply the means I was asking You know if you
have a date a frame like this Ah play function
usually votes on hold Rose and whole columns Not like
selector ones Right on One thing I showed us how
to play the mean Actually but some more interesting example
will be So let me show you this Probably rather
than discussing I'll just show an example Insert a cell
about Yeah So have a look at here guys Do
you know how to define a function in python so
normally If you want to define a function let's I
want to define a function like ad I will say
you can say a coma Be I want to pass

English: 
two elements Sorry on Dhe then So if you're passing
A and B what will happen You will say there
is something called R E s equal to a plus
B and you can simply return our yes on How
do you call the function He was a ad on
then you said three coma for so have a look
at here What I did I created a simple function
It is called ad and I'm saying that there is
a envy If you pass a and meet Larry plus
B this is have you defined out very simple function
in fighting just to show you the syntax Now my
condition Is that so Look at the store sales later
I have the store sales data right I wantto probably
give a bonus So I have stores right there Store
ID's on what I want to do that I want
to pick up a column actually say the Jan Maan
says If the Jan Month sale is let's say more

English: 
two elements Sorry on Dhe then So if you're passing
A and B what will happen You will say there
is something called R E s equal to a plus
B and you can simply return our yes on How
do you call the function He was a ad on
then you said three coma for so have a look
at here What I did I created a simple function
It is called ad and I'm saying that there is
a envy If you pass a and meet Larry plus
B this is have you defined out very simple function
in fighting just to show you the syntax Now my
condition Is that so Look at the store sales later
I have the store sales data right I wantto probably
give a bonus So I have stores right there Store
ID's on what I want to do that I want
to pick up a column actually say the Jan Maan
says If the Jan Month sale is let's say more

English: 
than 10,000 for for a store then I want to
give them a bonus So my idea is that so
These are the situations where our play function will come
into picture So it is not like apply function is
used for everything But one common example is that I
have the store data on what I want to help
The JAN Column on my condition is that if the
store has made a sale okay which is more than
10 k in John Run then I will call this
story as eligible store I will give them bonus If
the value is less than 10 k I will say
not eligible Now can you tell me how can you
make sure whether it is more than 10 or less
than pain Any picnic We did a study of light
NPR where right So what I can do I have
already written it I think so Then I can save
some time Look at here So I have defined a

English: 
than 10,000 for for a store then I want to
give them a bonus So my idea is that so
These are the situations where our play function will come
into picture So it is not like apply function is
used for everything But one common example is that I
have the store data on what I want to help
The JAN Column on my condition is that if the
store has made a sale okay which is more than
10 k in John Run then I will call this
story as eligible store I will give them bonus If
the value is less than 10 k I will say
not eligible Now can you tell me how can you
make sure whether it is more than 10 or less
than pain Any picnic We did a study of light
NPR where right So what I can do I have
already written it I think so Then I can save
some time Look at here So I have defined a

English: 
function called Born Its function on the bonus function takes
something called sales numbers Okay Or I can say sale
school right on Probably loaded as a comprehension Okay so
I just liked it in a bit more easy there
So you guys can understand So tell me how do
you write the bonus So you again say huh And
be not very right How are you All right What
were the condition So first let's do one thing Let's
call it something So I will say I have something
called eligible values If you guys want you can write
it along with me You will see if we can
refine this function So I will say just type the
F and then bonus function on dysfunction is taking a

English: 
function called Born Its function on the bonus function takes
something called sales numbers Okay Or I can say sale
school right on Probably loaded as a comprehension Okay so
I just liked it in a bit more easy there
So you guys can understand So tell me how do
you write the bonus So you again say huh And
be not very right How are you All right What
were the condition So first let's do one thing Let's
call it something So I will say I have something
called eligible values If you guys want you can write
it along with me You will see if we can
refine this function So I will say just type the
F and then bonus function on dysfunction is taking a

English: 
column I will say eligible values Okay Where I will
say in p dot Where What is the condition when
my sales column is greater than then I will say
l e j brother or I will say Watch not
And it's a And then what you need to do
in the function but it turned white Andy Gibb values
So what am I doing I'm defining a simple function
which will take something called sales column on It will
compare this It was a eligible not eligible right But

English: 
column I will say eligible values Okay Where I will
say in p dot Where What is the condition when
my sales column is greater than then I will say
l e j brother or I will say Watch not
And it's a And then what you need to do
in the function but it turned white Andy Gibb values
So what am I doing I'm defining a simple function
which will take something called sales column on It will
compare this It was a eligible not eligible right But

English: 
that is not the end off it So I can
I will just see whether it was store sales I
can just say Jan bonus and I can't simply say
born its function And I will pass watch store sales
What is a column J and right Some matter pusher
Oh on I need to import it right I don't
have So how do you say Ah very interesting So

English: 
that is not the end off it So I can
I will just see whether it was store sales I
can just say Jan bonus and I can't simply say
born its function And I will pass watch store sales
What is a column J and right Some matter pusher
Oh on I need to import it right I don't
have So how do you say Ah very interesting So

English: 
what did I do here This is my function What
my function does it takes a sales column on it
will just stay in Peter Where if the colon values
more than 10 it is eligible otherwise not eligible under
return That roar force eligible or not eligible for this
on I'm just adding a new column So somebody was
asking How do you add a new column So this
is one way I'm just saying that I want to
add a new corland called Jan born ISS And what
is a new column I will pass this Jan Column
off store sales to the bonus function And the result
will be the new Courtland called gentleness You can see
that here Yeah so And beat out there What It
will do it So what are you passing to the
function So what is this Sales column This will be
Jan Right So if you take Jan people take all
these 8 12 16 or will be compared so it
will be not eligible Oil will be obviously eligible Ah

English: 
what did I do here This is my function What
my function does it takes a sales column on it
will just stay in Peter Where if the colon values
more than 10 it is eligible otherwise not eligible under
return That roar force eligible or not eligible for this
on I'm just adding a new column So somebody was
asking How do you add a new column So this
is one way I'm just saying that I want to
add a new corland called Jan born ISS And what
is a new column I will pass this Jan Column
off store sales to the bonus function And the result
will be the new Courtland called gentleness You can see
that here Yeah so And beat out there What It
will do it So what are you passing to the
function So what is this Sales column This will be
Jan Right So if you take Jan people take all
these 8 12 16 or will be compared so it
will be not eligible Oil will be obviously eligible Ah

English: 
you can also say return and Peter had everything you
can about this is a good one So that is
how I wrote before I guess But it has to
be a list I guess if you're doing like that
let me check that So you were writing what I
done Oh no no no I don't think directly You
can say return and Peter are dead No no I
don't think that's possible The Officer Cheever for defining the
function And this is the name off the function called
Born Its Function Right Now let me ask you one
more thing Okay So a little bit about the function
Let me ask you one more thing What if your
manager is saying What if your manager is saying that
you know So this month we will give them bonus
If the store sales more than 10 next month it
will be 20 right Not every month It'll be saying

English: 
you can also say return and Peter had everything you
can about this is a good one So that is
how I wrote before I guess But it has to
be a list I guess if you're doing like that
let me check that So you were writing what I
done Oh no no no I don't think directly You
can say return and Peter are dead No no I
don't think that's possible The Officer Cheever for defining the
function And this is the name off the function called
Born Its Function Right Now let me ask you one
more thing Okay So a little bit about the function
Let me ask you one more thing What if your
manager is saying What if your manager is saying that
you know So this month we will give them bonus
If the store sales more than 10 next month it
will be 20 right Not every month It'll be saying

English: 
so how do you do So this pen is not
fix it every month So what do you do You
will say Sales column Coma I say this number in
orderto she would say Do you guys understand this Yeah
So here you are passing It does every variable right
Well it's not required I'm just saying you scored on

English: 
so how do you do So this pen is not
fix it every month So what do you do You
will say Sales column Coma I say this number in
orderto she would say Do you guys understand this Yeah
So here you are passing It does every variable right
Well it's not required I'm just saying you scored on

English: 
business then then But what is more interesting will be
this I can say store sales New GF equal to
store sales I can say a fly Uh huh Cycle
say selectively Types include You quit too in the 64

English: 
business then then But what is more interesting will be
this I can say store sales New GF equal to
store sales I can say a fly Uh huh Cycle
say selectively Types include You quit too in the 64

English: 
One moment Okay My tasting narratives and backs where include
right Oh So uh now see what I have done
right now See what I have done I have So
this is the actual use off the apply function So
like I said apply is something which will take your
function and apply to every column by the fort in
the function that I'm calling here is born its function

English: 
One moment Okay My tasting narratives and backs where include
right Oh So uh now see what I have done
right now See what I have done I have So
this is the actual use off the apply function So
like I said apply is something which will take your
function and apply to every column by the fort in
the function that I'm calling here is born its function

English: 
So what is the bonus function doing It will compare
each valley whether it is more than 10 Okay And
I'm applying to the whole data frame So for each
Monday decider if the sale is more than 10 they
are eligible So if you look at my new data
from I created it has just the Elizabeth and not
eligible stores Ofcourse you have only I d right But
now you have a problem right What is the problem
So this is fine The previous Saturday dies Go on
go on In the sense like we created a new
data from outof it Right But by looking at this
a all alone human or be ableto make sense like
with stories Actually Elizabeth are not eligible So that is
where you can do one more thing You can actually
concurred in it to date offerings like my orders in
our data frame is watch Um be afraid Store stays
by I can't say I want to add store sales
on new the F Together I can do a concatenation
but you have to be very careful when you're doing

English: 
So what is the bonus function doing It will compare
each valley whether it is more than 10 Okay And
I'm applying to the whole data frame So for each
Monday decider if the sale is more than 10 they
are eligible So if you look at my new data
from I created it has just the Elizabeth and not
eligible stores Ofcourse you have only I d right But
now you have a problem right What is the problem
So this is fine The previous Saturday dies Go on
go on In the sense like we created a new
data from outof it Right But by looking at this
a all alone human or be ableto make sense like
with stories Actually Elizabeth are not eligible So that is
where you can do one more thing You can actually
concurred in it to date offerings like my orders in
our data frame is watch Um be afraid Store stays
by I can't say I want to add store sales
on new the F Together I can do a concatenation
but you have to be very careful when you're doing

English: 
concatenation because I really even your duke and coordination You
can either add them horizontally or vertically horizontal adding means
you will be added like this vertical means like this
so I really their rows and columns should be equal
Otherwise you will end up having problems So now my
requirement is I have to or data frames and I
just want to add them together All right so let's
see how to do that Then I will pick up
your questions s so I can say something like this
Speedy Dort One moment Okay Can Cat I think the
function is called Can Cat What are the different names

English: 
concatenation because I really even your duke and coordination You
can either add them horizontally or vertically horizontal adding means
you will be added like this vertical means like this
so I really their rows and columns should be equal
Otherwise you will end up having problems So now my
requirement is I have to or data frames and I
just want to add them together All right so let's
see how to do that Then I will pick up
your questions s so I can say something like this
Speedy Dort One moment Okay Can Cat I think the
function is called Can Cat What are the different names

English: 
Store sales store sales end nudie of Right Right Ah
So what do you think happened So And it is
always good to check this And I'm just Let's do
one thing that I'm good at what you do What
happened I can't catch how many rows are there now
200 So my date as it has 15 Gollum's and
100 rose on I did a corn cat on what
happened It upended horizontally below So your unbelief again The
weather ago dot tale right And you see So if
you don't want this you can say what one knows

English: 
Store sales store sales end nudie of Right Right Ah
So what do you think happened So And it is
always good to check this And I'm just Let's do
one thing that I'm good at what you do What
happened I can't catch how many rows are there now
200 So my date as it has 15 Gollum's and
100 rose on I did a corn cat on what
happened It upended horizontally below So your unbelief again The
weather ago dot tale right And you see So if
you don't want this you can say what one knows

English: 
it I know now you're talking more or less looks
like you know easy toe So you may argue that
this is much more easy in excel to do who
but yeah but if you have 100 Rose I will
Lord to come to this to do it actually But
if you have one million Rose probably this is not
a good idea So what did we do We created
a data frame called Nucleus Right where I have applied
this bonus function and check with Europe on desperation When
I apply this I got another cannot convert string That
is why I added this day Pipes here Okay And
I created a new B F on now My origin
a date A famous store sales the visible not eligible
is new The F I say can coordinate them together
access equal to one because I want to add them
horizontally just after that and look at the shape and
print it You are getting their data frame that you

English: 
it I know now you're talking more or less looks
like you know easy toe So you may argue that
this is much more easy in excel to do who
but yeah but if you have 100 Rose I will
Lord to come to this to do it actually But
if you have one million Rose probably this is not
a good idea So what did we do We created
a data frame called Nucleus Right where I have applied
this bonus function and check with Europe on desperation When
I apply this I got another cannot convert string That
is why I added this day Pipes here Okay And
I created a new B F on now My origin
a date A famous store sales the visible not eligible
is new The F I say can coordinate them together
access equal to one because I want to add them
horizontally just after that and look at the shape and
print it You are getting their data frame that you

English: 
want so that yeah So So you have a leader
renamed them or because it will have the same problem
Yeah So if you know if you're doing boss So
you need to lease that The garden names actually What
if I say what you cannot If you're picking up
Dan you will get through Jan So either you can
rename the columns Okay You can just say that Select
on a lock off this to the strange and change
the names dot columns So one way So you concert
dark or limbs and manually reset all the corland names
So instead of Dan you can call it as John
Bonus or something like that But in the default operation
it will add the same column names We are not
changing it So but this is also good I think

English: 
want so that yeah So So you have a leader
renamed them or because it will have the same problem
Yeah So if you know if you're doing boss So
you need to lease that The garden names actually What
if I say what you cannot If you're picking up
Dan you will get through Jan So either you can
rename the columns Okay You can just say that Select
on a lock off this to the strange and change
the names dot columns So one way So you concert
dark or limbs and manually reset all the corland names
So instead of Dan you can call it as John
Bonus or something like that But in the default operation
it will add the same column names We are not
changing it So but this is also good I think

English: 
because not good but you can see Dan and Dan
Soliz ability Way off off the data I can print
No this should not be It should not be if
I say go dark columns No they're not nested They're
having all the columns but they're sort of like uh
how do I say representative Right So one thing you
need to our take care is that if you're doing
this kind of concatenation store the column names you might
have to change your manually at them They will remain
the same Ah you can One thing is set against
our daughter columns and then again manually add it That

English: 
because not good but you can see Dan and Dan
Soliz ability Way off off the data I can print
No this should not be It should not be if
I say go dark columns No they're not nested They're
having all the columns but they're sort of like uh
how do I say representative Right So one thing you
need to our take care is that if you're doing
this kind of concatenation store the column names you might
have to change your manually at them They will remain
the same Ah you can One thing is set against
our daughter columns and then again manually add it That

English: 
is one way to deal with You can process a
list and given you need so you can say the
F off the car Love name equal to then you
can give another corn I don't have I don't know
Look you can access columns by numbers When I said
dart I lock I can use only numbers either or
column no face the corner for So you can use
your to use their 0123 like autumn numbers It won't
consider the corner booth No there might be a method
I don't remember So I don't think so Not in
the ordinary later frame You can say select you know

English: 
is one way to deal with You can process a
list and given you need so you can say the
F off the car Love name equal to then you
can give another corn I don't have I don't know
Look you can access columns by numbers When I said
dart I lock I can use only numbers either or
column no face the corner for So you can use
your to use their 0123 like autumn numbers It won't
consider the corner booth No there might be a method
I don't remember So I don't think so Not in
the ordinary later frame You can say select you know

English: 
Look and then move it I just want to discuss
one small topic which is very important but it is
not there in your service thing notebook I have another
notebook I will share it with you But this seems
to be a bit important So can you guys tell
me what is happening here Mmm Okay So I will
just run this Oh you Nitto import right Hurry on

English: 
Look and then move it I just want to discuss
one small topic which is very important but it is
not there in your service thing notebook I have another
notebook I will share it with you But this seems
to be a bit important So can you guys tell
me what is happening here Mmm Okay So I will
just run this Oh you Nitto import right Hurry on

English: 
board Import pandas as beauty So you guys have a
look at this I just brought this example to show
you something What I'm doing here What is years list
What is F one visionary So I can create something
called a series Okay Bypassing F one and index equal
two years Well these things may not be really important
because it's very unlikely that you manually enter some data
and create a data from usually you read it But
my point here is that what will happen is that
series is a single column even a single corner McRoy
index Even though you say single column it has a
row index Right So here if I show you let
me um form one Right Okay So is it printing
something No it's not printing So if I say a

English: 
board Import pandas as beauty So you guys have a
look at this I just brought this example to show
you something What I'm doing here What is years list
What is F one visionary So I can create something
called a series Okay Bypassing F one and index equal
two years Well these things may not be really important
because it's very unlikely that you manually enter some data
and create a data from usually you read it But
my point here is that what will happen is that
series is a single column even a single corner McRoy
index Even though you say single column it has a
row index Right So here if I show you let
me um form one Right Okay So is it printing
something No it's not printing So if I say a

English: 
French firm one Mmm This is how far someone will
look like Okay what is farm one Form one has
an index off years So 90 91 92 These things
will be the index the right on Dhe Then it
will also have this F one So it will look
at this dictionary and find out the values it landed
here and created like this Ok so basically what I
did by running all this I created our date A
friend like this This is my date offering huh So
in the data frame the index is this 90 91
92 all I have three columns Former foreign to form
three The point that I want to actually discuss here
Is this any and values So it is very common
that when you donate analytics you will get lord often
and values on what to do with them So one
of the things you can do is that you can
say there's a drop a name 1/3 so I can

English: 
French firm one Mmm This is how far someone will
look like Okay what is farm one Form one has
an index off years So 90 91 92 These things
will be the index the right on Dhe Then it
will also have this F one So it will look
at this dictionary and find out the values it landed
here and created like this Ok so basically what I
did by running all this I created our date A
friend like this This is my date offering huh So
in the data frame the index is this 90 91
92 all I have three columns Former foreign to form
three The point that I want to actually discuss here
Is this any and values So it is very common
that when you donate analytics you will get lord often
and values on what to do with them So one
of the things you can do is that you can
say there's a drop a name 1/3 so I can

English: 
say so What is firm too Form police a series
on here What is this Data from Col De of
three Right So I can say the F three drop
in the F three dark drop in So can you
tell me what happened when I did I drop So
my question is is it dropping them Roll by sir
Column boys Are you sure Only 93 94 was retained
You're always right So it will drop It relies n
n values So wherever you haven't nn value that drawer
row us dropped and you got only the remaining one
That's okay But if I say the F three if
I say the f three what'll happen the original later
frame is unaffected right So I really you should assign

English: 
say so What is firm too Form police a series
on here What is this Data from Col De of
three Right So I can say the F three drop
in the F three dark drop in So can you
tell me what happened when I did I drop So
my question is is it dropping them Roll by sir
Column boys Are you sure Only 93 94 was retained
You're always right So it will drop It relies n
n values So wherever you haven't nn value that drawer
row us dropped and you got only the remaining one
That's okay But if I say the F three if
I say the f three what'll happen the original later
frame is unaffected right So I really you should assign

English: 
this drop in a or I think you will be
also able to do in place True So if you
want the order genetic data for himto have this word
you say in place True what will happen It will
drop from the original later frame on DSO Your original
frame will get affected right And usually run Want to
do that So you cannot say that to a different
So this is one way off dropping the value You
can also do something else for example Mm You can
say access equal to one What will happen There always
are column ways Yeah So access equal to zero means
golden rice Like in the sense like it is picking
this access equal to one means So it is checking
wherever an end values out there and it is dropping
them That is also possible right on Dhe Another interesting

English: 
this drop in a or I think you will be
also able to do in place True So if you
want the order genetic data for himto have this word
you say in place True what will happen It will
drop from the original later frame on DSO Your original
frame will get affected right And usually run Want to
do that So you cannot say that to a different
So this is one way off dropping the value You
can also do something else for example Mm You can
say access equal to one What will happen There always
are column ways Yeah So access equal to zero means
golden rice Like in the sense like it is picking
this access equal to one means So it is checking
wherever an end values out there and it is dropping
them That is also possible right on Dhe Another interesting

English: 
thing is there's a threshold you can mention Okay so
have a look at here I'm saying I want to
drop access one that I shoulda quit too Okay So
what do you mean by this They're a shoulder So
let's say they're assured equal toe what other values we
have Okay Yeah So Thresh already If so what is
the original air date A family of three Right So
they spring that also orange Leo three Okay not here
This is the last line in the little print I
will say What an image that I shoulda the f
on help India three So did something happen Nothing happened

English: 
thing is there's a threshold you can mention Okay so
have a look at here I'm saying I want to
drop access one that I shoulda quit too Okay So
what do you mean by this They're a shoulder So
let's say they're assured equal toe what other values we
have Okay Yeah So Thresh already If so what is
the original air date A family of three Right So
they spring that also orange Leo three Okay not here
This is the last line in the little print I
will say What an image that I shoulda the f
on help India three So did something happen Nothing happened

English: 
the night because my threshold is too So let's say
that the shoulders a bigger number eight empty They definitely
okay were the number five my B 91 92 So
there's also having saying right So what is this threshold
value doing so you can define it ashore in this
case arose having more than two n n values It
will be dropped So they're assured works like that So
it will look at the other values And if you
mention a number than anything more than little drop always
really keep it Why This is important because you will
encounter probably millions of n n values in the data
frames on you might wantto you know change them or
drop them You can also replace them So one common
thing that we do is that we replace them You

English: 
the night because my threshold is too So let's say
that the shoulders a bigger number eight empty They definitely
okay were the number five my B 91 92 So
there's also having saying right So what is this threshold
value doing so you can define it ashore in this
case arose having more than two n n values It
will be dropped So they're assured works like that So
it will look at the other values And if you
mention a number than anything more than little drop always
really keep it Why This is important because you will
encounter probably millions of n n values in the data
frames on you might wantto you know change them or
drop them You can also replace them So one common
thing that we do is that we replace them You

English: 
can stay feel any So what I'm doing Phil and
a zero So instead of all and then values it
will be filled with what Zero right You can also
say you know filled with a mean Tonight's for example
huh So here what am I doing I'm saying fill
in a the f three dot mean so the mean
will be calculated or you can pass a function on
that value can be filled So that's something we commonly
do because let's say you're getting the on well revenue
off 10 cos every year Okay now it comes in
a date offering right now What happens in one year
There is not have any Therefore goto give you the
data so that will become in a name All right
so now when you start working with it you just
don't want to consider that is no data So what
we do is that the last 10 year data we

English: 
can stay feel any So what I'm doing Phil and
a zero So instead of all and then values it
will be filled with what Zero right You can also
say you know filled with a mean Tonight's for example
huh So here what am I doing I'm saying fill
in a the f three dot mean so the mean
will be calculated or you can pass a function on
that value can be filled So that's something we commonly
do because let's say you're getting the on well revenue
off 10 cos every year Okay now it comes in
a date offering right now What happens in one year
There is not have any Therefore goto give you the
data so that will become in a name All right
so now when you start working with it you just
don't want to consider that is no data So what
we do is that the last 10 year data we

English: 
have only one nearest missing You say mean off it
and Philip dead So you have some value to experiment
with You cannot simply say drop everything Right So if
it is the road doesn't mean like so you have
testified that so what we do is that we replace
that in and value what I mean So a near
revenue off the company is this one here is missing
that mean will take care for that cos all years
that problem I mean I mean one technique I'm saying
anything you can do I'm just saying that that will
make sense Otherwise if you say that value is zero
on then you're calculating something It will have a huge
impact because that it is as good as like the
company that didn't do any business on that year But
I really therefore go to give you the date I
was something like that So our race it is a
good practice toe find an end values and then manipulate
them tonight So I will share this notebook with you
This has some explanation or so off these Indian values
This is not with you right now but I will

English: 
have only one nearest missing You say mean off it
and Philip dead So you have some value to experiment
with You cannot simply say drop everything Right So if
it is the road doesn't mean like so you have
testified that so what we do is that we replace
that in and value what I mean So a near
revenue off the company is this one here is missing
that mean will take care for that cos all years
that problem I mean I mean one technique I'm saying
anything you can do I'm just saying that that will
make sense Otherwise if you say that value is zero
on then you're calculating something It will have a huge
impact because that it is as good as like the
company that didn't do any business on that year But
I really therefore go to give you the date I
was something like that So our race it is a
good practice toe find an end values and then manipulate
them tonight So I will share this notebook with you
This has some explanation or so off these Indian values
This is not with you right now but I will

English: 
share it with you so you guys can practice on
this now on data frames there is an assignment Not
now Don't worry So later But I'll share this file
with you Uh what is this Final final banned us
with it Black please Band as exercise huh So Pandas
lab So there is a Can you see this There
is an automobile later and there is something called pandas
lab exercise So the idea is that you lord this
notebook and try to see if you can get dancer
If not there is something called solution in the solution
That s pandas exercise solution you have So if you're
not able to get it for example I'll just show
you one off them How do you upload it You
will go here up floored on You can say practice

English: 
share it with you so you guys can practice on
this now on data frames there is an assignment Not
now Don't worry So later But I'll share this file
with you Uh what is this Final final banned us
with it Black please Band as exercise huh So Pandas
lab So there is a Can you see this There
is an automobile later and there is something called pandas
lab exercise So the idea is that you lord this
notebook and try to see if you can get dancer
If not there is something called solution in the solution
That s pandas exercise solution you have So if you're
not able to get it for example I'll just show
you one off them How do you upload it You
will go here up floored on You can say practice

English: 
ground as exercise and we want the automobile later And
this and they open up your boat Uh and I
can just open this Yeah So this is like this
We shall now test your skill using pandas package Answer
his question So yeah check the head So you're supposed
to read the data frame that is not given my
answer His question Lord Pandas SPD and our Florida automobile
later So what is the automobile later practice here is
automobile later listening open interest So the automobile data actually
has Lord of columns So there is a make and
model of the car How many tires it has What
is engine What type That is automobile data on Check
the head off the data for him How many rows
and columns are there What is the average price off
our course which is the cheapest make How many cars

English: 
ground as exercise and we want the automobile later And
this and they open up your boat Uh and I
can just open this Yeah So this is like this
We shall now test your skill using pandas package Answer
his question So yeah check the head So you're supposed
to read the data frame that is not given my
answer His question Lord Pandas SPD and our Florida automobile
later So what is the automobile later practice here is
automobile later listening open interest So the automobile data actually
has Lord of columns So there is a make and
model of the car How many tires it has What
is engine What type That is automobile data on Check
the head off the data for him How many rows
and columns are there What is the average price off
our course which is the cheapest make How many cars

English: 
have horse fell A greater than this three most commonly
foreign cars Which guys are prized except tracks So this
is one sample it practice So we give you more
like this So it's easy for youto go through An
indigestion solution is also there Have you guys heard about
cattle Yes right Why It is not giving any output
It Oh yeah So for those who are not aware
off it Catalyst Probably one of the best places where
you can find all the data that you want It
is a website which shares data to you You get
a lot of data on that A lot of competitions
that happen in cattle so you can sign up for
a competition They'll give you the data on then they
will ask you to find a solution So for data
science and ML this is the best place to get
all the later you can also see the previous competition
results It's people uploaded on and that also can help

English: 
have horse fell A greater than this three most commonly
foreign cars Which guys are prized except tracks So this
is one sample it practice So we give you more
like this So it's easy for youto go through An
indigestion solution is also there Have you guys heard about
cattle Yes right Why It is not giving any output
It Oh yeah So for those who are not aware
off it Catalyst Probably one of the best places where
you can find all the data that you want It
is a website which shares data to you You get
a lot of data on that A lot of competitions
that happen in cattle so you can sign up for
a competition They'll give you the data on then they
will ask you to find a solution So for data
science and ML this is the best place to get
all the later you can also see the previous competition
results It's people uploaded on and that also can help

English: 
you get more idea So this automobile late as it
is actually taken from can catch it You can get
Lord off free rate us It's in cabinet on I
have shared this notebook with you It will be uploaded
elements Now you can just download it and adipure Jupiter
Meanwhile let's have a small discussion about number Right Um
see basically what isn ump I like I said it
is called numerical Pi Thorne That is why it's called
a number by numb by is a special later ah
structure library that is available in python which allows youto
play around with the multi dimensional Harry's So the basic
idea is to create multi dimensional Larry's right on dump
I support something called Eddie Okay so the other can
be one dimensional toward I mentioned three damage That's what
it is the practical application Mentor Come right now for

English: 
you get more idea So this automobile late as it
is actually taken from can catch it You can get
Lord off free rate us It's in cabinet on I
have shared this notebook with you It will be uploaded
elements Now you can just download it and adipure Jupiter
Meanwhile let's have a small discussion about number Right Um
see basically what isn ump I like I said it
is called numerical Pi Thorne That is why it's called
a number by numb by is a special later ah
structure library that is available in python which allows youto
play around with the multi dimensional Harry's So the basic
idea is to create multi dimensional Larry's right on dump
I support something called Eddie Okay so the other can
be one dimensional toward I mentioned three damage That's what
it is the practical application Mentor Come right now for

English: 
you You will see number Ira's later When when you
start working with deep learning or any other projects passage
the number is very useful And the pandas and data
friends were actually built on top off number right now
But so that is like very simple So you're saying
that I'll get there is numb by But I have
a very simple question to you Can you see this
distance and speed thing I created What is distance and
speed What are they They're not really my list Sonata
Molest you square bracket Now don't run this I think
you're on how The notebook So I have a question
I'm saying time equal to distance by speed Okay that
I'm saying for ending time what will happen I mean
you can take the Oh Okay So you're saying 45

English: 
you You will see number Ira's later When when you
start working with deep learning or any other projects passage
the number is very useful And the pandas and data
friends were actually built on top off number right now
But so that is like very simple So you're saying
that I'll get there is numb by But I have
a very simple question to you Can you see this
distance and speed thing I created What is distance and
speed What are they They're not really my list Sonata
Molest you square bracket Now don't run this I think
you're on how The notebook So I have a question
I'm saying time equal to distance by speed Okay that
I'm saying for ending time what will happen I mean
you can take the Oh Okay So you're saying 45

English: 
by fire off a by 10 35 By seven Absolutely
wrong Nothing will happen You get bunch of feathers It
will not work right How it'll work Oh it will
No it'll never work Actually the question is white No
I I it's a collection A list is a collection
where if I want to really do this I should
write a four loop I will say for every element
in this take every element and that doing our division
I mean why am I saying this is that But
it's very common that I'm looking at some data points
So again like the uber data I got over data
Probably not an excel file problems Some other format where
I have a distance covered by each over driver in
an area or a list And I have the speed
off each card Okay And I just wanted your distance
by speed But I cannot do this here on list

English: 
by fire off a by 10 35 By seven Absolutely
wrong Nothing will happen You get bunch of feathers It
will not work right How it'll work Oh it will
No it'll never work Actually the question is white No
I I it's a collection A list is a collection
where if I want to really do this I should
write a four loop I will say for every element
in this take every element and that doing our division
I mean why am I saying this is that But
it's very common that I'm looking at some data points
So again like the uber data I got over data
Probably not an excel file problems Some other format where
I have a distance covered by each over driver in
an area or a list And I have the speed
off each card Okay And I just wanted your distance
by speed But I cannot do this here on list

English: 
If I do it as a list or dictionary or
anything I will end up in their era for sure
right So I mean I just wanted to show you
that it is not possible first Then if I say
it will make so much of the area are getting
if I scroll down unsupported operations for this list right
Well now what I'm going to do is something very
simple So I'm just going to important m pi as
MP This part is not required Okay on Look at
what I'm doing So this what is distance It's a
list You can convert this to a number I r
A By simply typing away off distance Then I can
say s so you don't have to say and be
daughter anything Did we imported separately Important empires MP Okay
let me do one thing Come in these things for

English: 
If I do it as a list or dictionary or
anything I will end up in their era for sure
right So I mean I just wanted to show you
that it is not possible first Then if I say
it will make so much of the area are getting
if I scroll down unsupported operations for this list right
Well now what I'm going to do is something very
simple So I'm just going to important m pi as
MP This part is not required Okay on Look at
what I'm doing So this what is distance It's a
list You can convert this to a number I r
A By simply typing away off distance Then I can
say s so you don't have to say and be
daughter anything Did we imported separately Important empires MP Okay
let me do one thing Come in these things for

English: 
a moment So let's run them one by one Okay
I know you're to say MP darch So this is
how you create a number ira from let's say a
list called distance So I'm just converting this into a
number ira on again The speed I'm converting impede or
carry on Then we can just put in them So
let's have a look at how the data looks like
right now the data looks pretty much like a list
as off now Okay but now what is interesting is
that I can simply do this I can directly sir
Distance by speed on the result is time And if
you check the data type of time it's an AMP
I Indian mission Larry That is how you know it's
an added uh and um piety Right Excuse me You

English: 
a moment So let's run them one by one Okay
I know you're to say MP darch So this is
how you create a number ira from let's say a
list called distance So I'm just converting this into a
number ira on again The speed I'm converting impede or
carry on Then we can just put in them So
let's have a look at how the data looks like
right now the data looks pretty much like a list
as off now Okay but now what is interesting is
that I can simply do this I can directly sir
Distance by speed on the result is time And if
you check the data type of time it's an AMP
I Indian mission Larry That is how you know it's
an added uh and um piety Right Excuse me You

English: 
have already voted on it You know I override it
actually So you're to say impede or Terry I really
I always only important number SNP So whenever that import
statement is that you're the same three dog night now
So that the real question is that why this is
useful Why this is useful Because this numb pie data
structures like raise our pre company pre compiling data types
Meaning if you create an umpire a off Let's say
indigenous like this they're already compiled on any operation You
write on them like addition subtraction They can apply that
on all the elements really fast So a new empire
operations are 10 200 times faster than normal list operations
You have heard about this four pan right For primary
language Fortune for train is considered to be one of
the fastest languages ever created Sanam by a operations are
as fast as the fortune operations because Once you create

English: 
have already voted on it You know I override it
actually So you're to say impede or Terry I really
I always only important number SNP So whenever that import
statement is that you're the same three dog night now
So that the real question is that why this is
useful Why this is useful Because this numb pie data
structures like raise our pre company pre compiling data types
Meaning if you create an umpire a off Let's say
indigenous like this they're already compiled on any operation You
write on them like addition subtraction They can apply that
on all the elements really fast So a new empire
operations are 10 200 times faster than normal list operations
You have heard about this four pan right For primary
language Fortune for train is considered to be one of
the fastest languages ever created Sanam by a operations are
as fast as the fortune operations because Once you create

English: 
an airy it has three built functions and data types
on the area So when you say some it takes
a ward I say as you know an invasion and
apply whatever logic you're saying So the common use cases
will be that I have data points in different formats
like Lang were turned oil on I want to play
a common operation in them right now A question to
you Okay so let it be there are able to
get there This thing this notebook Now you can also
do things like this Okay so whatever this now you'll
be able to answer my question Uh can you have
a look at this court I'm going to run Will
it work These three lines It will work but what
happened Concatenation Right So then you say act to list

English: 
an airy it has three built functions and data types
on the area So when you say some it takes
a ward I say as you know an invasion and
apply whatever logic you're saying So the common use cases
will be that I have data points in different formats
like Lang were turned oil on I want to play
a common operation in them right now A question to
you Okay so let it be there are able to
get there This thing this notebook Now you can also
do things like this Okay so whatever this now you'll
be able to answer my question Uh can you have
a look at this court I'm going to run Will
it work These three lines It will work but what
happened Concatenation Right So then you say act to list

English: 
what will happen People can coordinate the list That is
a default measure off a list But you don't want
that Your idea was to add the you know individual
numbers light that will not work So but what I
can do So this is how you can create an
airy I can simply say this in bed all day
in one moment where it is giving that f plus
de Okay I'll just common this I'll tell you why
it is not working or we don't have a fancy
right from murder Getting a fennel my friend She's there
Right So I'm just creating a rabbit 12345 On 10
2030 40 I can print a print to be but

English: 
what will happen People can coordinate the list That is
a default measure off a list But you don't want
that Your idea was to add the you know individual
numbers light that will not work So but what I
can do So this is how you can create an
airy I can simply say this in bed all day
in one moment where it is giving that f plus
de Okay I'll just common this I'll tell you why
it is not working or we don't have a fancy
right from murder Getting a fennel my friend She's there
Right So I'm just creating a rabbit 12345 On 10
2030 40 I can print a print to be but

English: 
one thing to do Check because I was trying to
do a f plus g I got another right I
didn't have blessed g I gotta matter Why do you
think we coordinated Because if you're manually creating an empire
a their dimension has to be exactly seen What even
by dimension the number of rows and columns So if
I add a 50 here it should work It works
All right So if you don't have plus g this
well but you can also say I want took print
ad five with every element So all these common operations
can be broadcaster to the elements in there That's our
advantage of an empire Are you able to run these
things But if you closely observed the data types in
desert 32 All right In the idea that later type
is in danger 32 So when you actually go toe

English: 
one thing to do Check because I was trying to
do a f plus g I got another right I
didn't have blessed g I gotta matter Why do you
think we coordinated Because if you're manually creating an empire
a their dimension has to be exactly seen What even
by dimension the number of rows and columns So if
I add a 50 here it should work It works
All right So if you don't have plus g this
well but you can also say I want took print
ad five with every element So all these common operations
can be broadcaster to the elements in there That's our
advantage of an empire Are you able to run these
things But if you closely observed the data types in
desert 32 All right In the idea that later type
is in danger 32 So when you actually go toe

English: 
a pandas and data frames it is indigent 64 floor
64 So they allow I don't know Like more space
to be there I have a question Don't try this
What if I create a number Ira with Let's say
1234 Will it work Will it not work to live
through an error No Now by its numerical right What

English: 
a pandas and data frames it is indigent 64 floor
64 So they allow I don't know Like more space
to be there I have a question Don't try this
What if I create a number Ira with Let's say
1234 Will it work Will it not work to live
through an error No Now by its numerical right What

English: 
do you know Bring death right Huh So can you
tell me what happened here So ideally you should know
Do it The Nam pie is in numerical pattern So
you're trying to play with numbers on string Values are
not really you know advisable But if you're numb by
Eric and dancer string value what will happen So why
this is happening That is Ah the reason behind this
If you look at the data types that is something
called object This is your string huh What Something art
object Then that is float Then there is indigent The
lowest layer off later Davis in digit The next one
is floored Next Oneness string So if in your name
pie Ira you have a mixture of Florida an object
Lord I might really cast everything a string if you
have a mixer off in detail and fraud Lucas to
this float right That is our lord And I legally

English: 
do you know Bring death right Huh So can you
tell me what happened here So ideally you should know
Do it The Nam pie is in numerical pattern So
you're trying to play with numbers on string Values are
not really you know advisable But if you're numb by
Eric and dancer string value what will happen So why
this is happening That is Ah the reason behind this
If you look at the data types that is something
called object This is your string huh What Something art
object Then that is float Then there is indigent The
lowest layer off later Davis in digit The next one
is floored Next Oneness string So if in your name
pie Ira you have a mixture of Florida an object
Lord I might really cast everything a string if you
have a mixer off in detail and fraud Lucas to
this float right That is our lord And I legally

English: 
changed the later so like now in my area How
some numbers and then one string So you're saying everything
I will convert the strength so that it's not a
good thing to do I really right But if you
encounter something like this Sorry Be type B type huh
So this you won one is object That is an
object How do you know if I remove this Let's
add it as five What is that Indigent If I
say 5.5 it'll be worth it Floor 64 So I

English: 
changed the later so like now in my area How
some numbers and then one string So you're saying everything
I will convert the strength so that it's not a
good thing to do I really right But if you
encounter something like this Sorry Be type B type huh
So this you won one is object That is an
object How do you know if I remove this Let's
add it as five What is that Indigent If I
say 5.5 it'll be worth it Floor 64 So I

English: 
can do a DIY type for that So now some
very important functions you need to remember in Mumbai there
is a function called a range It's got a range
So I'm gonna commend some off this Um let's say
we don't want this Okay So a range is a
function It will generate a range of numbers where it
is again and be Doc No no It comes by
the fort Be important right It is NPR tote a

English: 
can do a DIY type for that So now some
very important functions you need to remember in Mumbai there
is a function called a range It's got a range
So I'm gonna commend some off this Um let's say
we don't want this Okay So a range is a
function It will generate a range of numbers where it
is again and be Doc No no It comes by
the fort Be important right It is NPR tote a

English: 
range There has to be some problems tested The NPD
ordinary than Aaron should work automatically You don't have to
say in Paedo Tyrion and pulled out a range that
it's no the idea I don't know Huh Eso Ideally
if you say you run it at all I really
died You can simply go on a range It should
work I think that is I was trying to mess
with the court I guess you don't have to say
you can say NPR a range It should work So
basically what is a range It will generate a range
of numbers and you say pen So it'll be from
0 to 9 Right This will be useful in case
You know you are looking at some sampling data So
if I say 15 it will give me what 0

English: 
range There has to be some problems tested The NPD
ordinary than Aaron should work automatically You don't have to
say in Paedo Tyrion and pulled out a range that
it's no the idea I don't know Huh Eso Ideally
if you say you run it at all I really
died You can simply go on a range It should
work I think that is I was trying to mess
with the court I guess you don't have to say
you can say NPR a range It should work So
basically what is a range It will generate a range
of numbers and you say pen So it'll be from
0 to 9 Right This will be useful in case
You know you are looking at some sampling data So
if I say 15 it will give me what 0

English: 
to 14 So this will be a vampire basically now
where this can be useful Yes You can also mention
this So I'm saying five is my starting point for
physics is the ending point and five is the step
function So can you see this I did uh and
peed on a range fire for basics and five So
what will happen to start with five on five is
the step functions little Add 55 10 15 to indeed
up to 55 It will never include the last element
There is a difference So if I keep it for
If I hear what will happen what do you think
will happen Well it friend No It'll print on Little
15 because started fire Add five Little 55 Last 11
Disarm it Er so it's like a step function to

English: 
to 14 So this will be a vampire basically now
where this can be useful Yes You can also mention
this So I'm saying five is my starting point for
physics is the ending point and five is the step
function So can you see this I did uh and
peed on a range fire for basics and five So
what will happen to start with five on five is
the step functions little Add 55 10 15 to indeed
up to 55 It will never include the last element
There is a difference So if I keep it for
If I hear what will happen what do you think
will happen Well it friend No It'll print on Little
15 because started fire Add five Little 55 Last 11
Disarm it Er so it's like a step function to

English: 
generate Numbers can be sometimes very useful because uh you
know you want to generate a set of numbers and
work with them And there is also a very similar
function called Lin Space Aaron gentle in space are very
similar The basic differences the split news on it once
Then you can understand the difference I don't know why
Either is an idea everywhere I think I was doing
something I would just hash it Yeah so that is
our mp dot Lynn space function and what it does
is very simple So let's say I want from start
be 200 Okay And this depth Best fight Yeah Um

English: 
generate Numbers can be sometimes very useful because uh you
know you want to generate a set of numbers and
work with them And there is also a very similar
function called Lin Space Aaron gentle in space are very
similar The basic differences the split news on it once
Then you can understand the difference I don't know why
Either is an idea everywhere I think I was doing
something I would just hash it Yeah so that is
our mp dot Lynn space function and what it does
is very simple So let's say I want from start
be 200 Okay And this depth Best fight Yeah Um

English: 
can you take a guess I ran this and I
got this What could have been happening So when you
say 30 and 105 1st will be 30 last will
be 100 So to our numbers are fix it All
right Does this fix it on Then what is this
Five So you will get five quid extender numbers like
30 to 47 47 to 65 65 to 82 82
200 will be saying number 60 So on What is
the formula So how does it calculate this number between
30 and 40 700 minus 30 Divided by five or
four I think For five minus one Right Can you
wantto Can you tell me where is the number 100

English: 
can you take a guess I ran this and I
got this What could have been happening So when you
say 30 and 105 1st will be 30 last will
be 100 So to our numbers are fix it All
right Does this fix it on Then what is this
Five So you will get five quid extender numbers like
30 to 47 47 to 65 65 to 82 82
200 will be saying number 60 So on What is
the formula So how does it calculate this number between
30 and 40 700 minus 30 Divided by five or
four I think For five minus one Right Can you
wantto Can you tell me where is the number 100

English: 
Minister Table before 70 70 by four days Work That
is what you see here right Yeah So the formula
will be 100 minus 30 divided by five minutes One
for their soul in space work So And you can
do this for any number For example I can say
I want between one on and then I want some
32 distance numbers What is it Because I Okay so
the output will be in fraud Because why that is
because in many cases you will not actually get the
invisible So the output off you know space is normally
castor to float for position So here you see imprinting
between work 1910 32 Lister numbers Right So like that

English: 
Minister Table before 70 70 by four days Work That
is what you see here right Yeah So the formula
will be 100 minus 30 divided by five minutes One
for their soul in space work So And you can
do this for any number For example I can say
I want between one on and then I want some
32 distance numbers What is it Because I Okay so
the output will be in fraud Because why that is
because in many cases you will not actually get the
invisible So the output off you know space is normally
castor to float for position So here you see imprinting
between work 1910 32 Lister numbers Right So like that

English: 
So this might be useful Um are you able to
run these things So now comes the real thing right
So dimensions right This was 30 point It won't So
if it is a whole number in digital you just
said therapy If you want to say 32 to 30
right now the answer is 30 Not that is the
first starting born right You're you're creating numbers between 1300
right So thirties and indigent So it won't print our
tip 1000 30 Generally night See a little bit of
all dimensions Right So you know what is that dimension

English: 
So this might be useful Um are you able to
run these things So now comes the real thing right
So dimensions right This was 30 point It won't So
if it is a whole number in digital you just
said therapy If you want to say 32 to 30
right now the answer is 30 Not that is the
first starting born right You're you're creating numbers between 1300
right So thirties and indigent So it won't print our
tip 1000 30 Generally night See a little bit of
all dimensions Right So you know what is that dimension

English: 
right So normally we say there is one dimension that
a steward I mentioned and that is three dimensions Is
that as the Lord I mentioned boo thing that it's
a zit or dimension No David Iglesias Practically No Actually
there is something called Is there a dimension of darkness
The dark dimension No actually Dr Score does it What
I mentioned to us that is not animated or anything
In mathematics it's cardholder I mentioned Zoe God one dimension
is what we created This Ari one dimension is what
this number I Arabia created Right So you're saying 1234
This is one dimension A to dimension is called a
Metrix Not do anything more than two is actually a
Metrix three ranks three dimension is also a Metrix But

English: 
right So normally we say there is one dimension that
a steward I mentioned and that is three dimensions Is
that as the Lord I mentioned boo thing that it's
a zit or dimension No David Iglesias Practically No Actually
there is something called Is there a dimension of darkness
The dark dimension No actually Dr Score does it What
I mentioned to us that is not animated or anything
In mathematics it's cardholder I mentioned Zoe God one dimension
is what we created This Ari one dimension is what
this number I Arabia created Right So you're saying 1234
This is one dimension A to dimension is called a
Metrix Not do anything more than two is actually a
Metrix three ranks three dimension is also a Metrix But

English: 
see when when you visualize it that's totally different For
example if I want to visualize three dimension I will
say probably a globe history dimension and a circle is
to dimension But in case off Nam pie you can
have 2345 any number of dimensions and you can visualize
them or so not like really annoyed but normally nam
posters So let's have a look at dimensions Ah here
If you scroll down what are we doing here I'm
creating an attic And you see these other numbers I
have so I just want to selectively aren't you know
aren't common That is why I'm commending everything Okay People
are thinking like why are you doing this Yeah So
basically what I'm doing here is that I'm creating and
Eddie Right And what are the numbers I have 30
to 45 extra tracks Attracts a trap right now One

English: 
see when when you visualize it that's totally different For
example if I want to visualize three dimension I will
say probably a globe history dimension and a circle is
to dimension But in case off Nam pie you can
have 2345 any number of dimensions and you can visualize
them or so not like really annoyed but normally nam
posters So let's have a look at dimensions Ah here
If you scroll down what are we doing here I'm
creating an attic And you see these other numbers I
have so I just want to selectively aren't you know
aren't common That is why I'm commending everything Okay People
are thinking like why are you doing this Yeah So
basically what I'm doing here is that I'm creating and
Eddie Right And what are the numbers I have 30
to 45 extra tracks Attracts a trap right now One

English: 
off The very common commonly used functionality in Nam pie
is this three shaped function So what is this reshaped
function So I'm saying that they are not reshape eight
comma tree What will happen this We can work mine
amp ira Indoor aid by three metrics So you will
have eight rows on three columns Can you see here
1234 How many rose Eight Roseanne Three columns So how
many dimensions this has and to your dimensions But we
will normally call it as a eight by three matrix
Right So the shape is very useful For example I
can say I want to have something or data to
I can't say Reshape to coma Coma How many Elevens

English: 
off The very common commonly used functionality in Nam pie
is this three shaped function So what is this reshaped
function So I'm saying that they are not reshape eight
comma tree What will happen this We can work mine
amp ira Indoor aid by three metrics So you will
have eight rows on three columns Can you see here
1234 How many rose Eight Roseanne Three columns So how
many dimensions this has and to your dimensions But we
will normally call it as a eight by three matrix
Right So the shape is very useful For example I
can say I want to have something or data to
I can't say Reshape to coma Coma How many Elevens

English: 
we have Norton 24 Total numbers are 24 so I
can say to coma to coma do Times two is
four Four times were different If for six I'll tell
you so So right now let's say you do this
This is three dimensional attic How Because I said reshape
Toko Motto Coma six What does this mean to Rose
You cannot say two columns because it is three dimensional
accessory will have to access one will have to access
to will have six So if you look at the
data it will have to rose one roar duo in
each You have I do Each you have two on
didn't teach You have six elements Can you visualize That
is how what three dimensional array will look like Well

English: 
we have Norton 24 Total numbers are 24 so I
can say to coma to coma do Times two is
four Four times were different If for six I'll tell
you so So right now let's say you do this
This is three dimensional attic How Because I said reshape
Toko Motto Coma six What does this mean to Rose
You cannot say two columns because it is three dimensional
accessory will have to access one will have to access
to will have six So if you look at the
data it will have to rose one roar duo in
each You have I do Each you have two on
didn't teach You have six elements Can you visualize That
is how what three dimensional array will look like Well

English: 
it is not I mean important to visualize this I
mean nobody's going to ask you like I'll give you
a data visualize in your mind But sometimes your data
Mathematical calculation sandal light The data will come in This
format of data will have a three dimensional matrix format
Now somebody was asking So take a desk if you
want You can go right now Nothing Now this is
actually three dimensions right So this this venue will reshape
You just passed to the argument that the three dimensions
are they like how the you visualize is a totally
different thing So one day I told you that you
can just imagine so if I'm looking at this six

English: 
it is not I mean important to visualize this I
mean nobody's going to ask you like I'll give you
a data visualize in your mind But sometimes your data
Mathematical calculation sandal light The data will come in This
format of data will have a three dimensional matrix format
Now somebody was asking So take a desk if you
want You can go right now Nothing Now this is
actually three dimensions right So this this venue will reshape
You just passed to the argument that the three dimensions
are they like how the you visualize is a totally
different thing So one day I told you that you
can just imagine so if I'm looking at this six

English: 
this number six it is in the first So you
have to write one too So in the first access
Okay you have two columns in that Again The first
The fifth element is this That is how I have
to access it So the three layers I'm saying three
dimensions other to the state Actually Now what will happen
if I try to do this Can you tell me
why I say to comer Toko Martin There are absolutely
error Why you can't fit right toe tomato Martin will
be What How many elements 40 How do you fit
their 40 into our You know this search so the
shape actually matters So what does that Toko Marto coma
six Then it should work right How do you make
this four dimensional 44 Yeah So sometimes Yeah so that's
fine But sometimes it is more easy to add a

English: 
this number six it is in the first So you
have to write one too So in the first access
Okay you have two columns in that Again The first
The fifth element is this That is how I have
to access it So the three layers I'm saying three
dimensions other to the state Actually Now what will happen
if I try to do this Can you tell me
why I say to comer Toko Martin There are absolutely
error Why you can't fit right toe tomato Martin will
be What How many elements 40 How do you fit
their 40 into our You know this search so the
shape actually matters So what does that Toko Marto coma
six Then it should work right How do you make
this four dimensional 44 Yeah So sometimes Yeah so that's
fine But sometimes it is more easy to add a

English: 
one right That is four dimensional light So this is
how four dimensions looks like good stuff on an island
stuff All right well it is difficult to see but
you got diarrhea right I mean the numbers are in
more backers You see more dimensions You have I don't
know how to explain this So some things are really
hard to explain Don't worry about four dimensions right now
So So right now I think eight commentaries enough photos
because the word I mentioned that easy for us to
work Uh which is that too Okay date eyes So
you can do things like this For example what is

English: 
one right That is four dimensional light So this is
how four dimensions looks like good stuff on an island
stuff All right well it is difficult to see but
you got diarrhea right I mean the numbers are in
more backers You see more dimensions You have I don't
know how to explain this So some things are really
hard to explain Don't worry about four dimensions right now
So So right now I think eight commentaries enough photos
because the word I mentioned that easy for us to
work Uh which is that too Okay date eyes So
you can do things like this For example what is

English: 
data Oh I didn't run Reshape thief Problem is this
all will get confused End of the day So your
original is data on Let's say we keep it as
data too I reshape it on Let me just print
it Data too Okay Is it working Yes That is
working So I can go this I guess Yes And
I can bring this So this is very similar to
your off What you say Pandas concept in pandas You
remember we had a filter so save me what I'm
doing here I'm saying that big data What is data
to your metrics Percentage to equal to sort out What
So what I'm doing even numbers right on If I
just printed I get through for us because it is
getting a plate on the metrics on I can just

English: 
data Oh I didn't run Reshape thief Problem is this
all will get confused End of the day So your
original is data on Let's say we keep it as
data too I reshape it on Let me just print
it Data too Okay Is it working Yes That is
working So I can go this I guess Yes And
I can bring this So this is very similar to
your off What you say Pandas concept in pandas You
remember we had a filter so save me what I'm
doing here I'm saying that big data What is data
to your metrics Percentage to equal to sort out What
So what I'm doing even numbers right on If I
just printed I get through for us because it is
getting a plate on the metrics on I can just

English: 
pass it as an argument No filter my NATO Right
So I can simply say later toe even data and
you will get this So you're getting only even numbers
on the Eddie Just as an example I'm So what
So you're calculating the weather The number is divisible by
war not to get even Oh Morty again Say it
right so better I saw this one pass through each
element of the matrix right on The output necessarily may
not be the same structure because here it is properly
eight by three or something But not every element will
satisfy the conditions So here it can be a normal
Larry Outward Canyon or military You also have a method
called impede or zeroes which can produce for peace Rose

English: 
pass it as an argument No filter my NATO Right
So I can simply say later toe even data and
you will get this So you're getting only even numbers
on the Eddie Just as an example I'm So what
So you're calculating the weather The number is divisible by
war not to get even Oh Morty again Say it
right so better I saw this one pass through each
element of the matrix right on The output necessarily may
not be the same structure because here it is properly
eight by three or something But not every element will
satisfy the conditions So here it can be a normal
Larry Outward Canyon or military You also have a method
called impede or zeroes which can produce for peace Rose

English: 
if you want a light But this might be more
useful because I can say in Peter's a rose three
comma five plus six So what is happening You're creating
a three by five metrics adding six to Avery's They're
also you'll get Emmett Reflex six and six So these
things will become handy when you start going for them
in machine learning Okay so not right now You may
be wondering why you have so many zeros but there
is also a and p 0.1 Smith which can give
you like once Right on dhe I can say five
by nine Any shape I want right What is an
identity matrix Anybody know where it's an identity matrix If

English: 
if you want a light But this might be more
useful because I can say in Peter's a rose three
comma five plus six So what is happening You're creating
a three by five metrics adding six to Avery's They're
also you'll get Emmett Reflex six and six So these
things will become handy when you start going for them
in machine learning Okay so not right now You may
be wondering why you have so many zeros but there
is also a and p 0.1 Smith which can give
you like once Right on dhe I can say five
by nine Any shape I want right What is an
identity matrix Anybody know where it's an identity matrix If

English: 
I'm creating a Metrix that's a four Right Um Then
where do I go What is this This is the
identity matrix What is that If you flip the rows
and columns a mattress will remain the thing So diagonal
values I one right That is fallen identity matrix Now
this might become useful but you can actually create an
identity Mathematics I can simply say impede our I and
just say five question to you Can I do and

English: 
I'm creating a Metrix that's a four Right Um Then
where do I go What is this This is the
identity matrix What is that If you flip the rows
and columns a mattress will remain the thing So diagonal
values I one right That is fallen identity matrix Now
this might become useful but you can actually create an
identity Mathematics I can simply say impede our I and
just say five question to you Can I do and

English: 
peed on I five comma six Now don't run this
I just have impure Five will create Firoz Five columns
equal Can I do in Peter Identity off my coma
Six I want fire all six columns Yeah So theoretically
this does not work as an identity matrix but strange
it is It will create a five by six So
if some concepts are very confusing the command is trying
to create an intimate tricks But this is not identity
Right now This will become right So probably close One
call a man short December It is Harish I absolutely
have no clue It is working No one asked me
Okay Why him and I don't know If so I've
been trying to find out Simon Gore knows how it
is working But normally a identity matrix should have equal
number of rows and columns Then only the concept makes

English: 
peed on I five comma six Now don't run this
I just have impure Five will create Firoz Five columns
equal Can I do in Peter Identity off my coma
Six I want fire all six columns Yeah So theoretically
this does not work as an identity matrix but strange
it is It will create a five by six So
if some concepts are very confusing the command is trying
to create an intimate tricks But this is not identity
Right now This will become right So probably close One
call a man short December It is Harish I absolutely
have no clue It is working No one asked me
Okay Why him and I don't know If so I've
been trying to find out Simon Gore knows how it
is working But normally a identity matrix should have equal
number of rows and columns Then only the concept makes

English: 
sense But you can also say one more columns and
then it just adds I don't know Maybe it works
like that Now if you wantto bring something like So
what is happening here I'm just feeling the diagnose with
the numbers 13 the identity matrix will have ones right
But in in certain use cases where you want to
you know feel it You can actually feel it like
this right Uh well that that is all you need
to know right now about Nam Pie Not much just
to understand that you know that these operations are possible
So um see when you when you're building a machine
learning mortal or something like So let's say your customer
comes to you and say that he gives you some

English: 
sense But you can also say one more columns and
then it just adds I don't know Maybe it works
like that Now if you wantto bring something like So
what is happening here I'm just feeling the diagnose with
the numbers 13 the identity matrix will have ones right
But in in certain use cases where you want to
you know feel it You can actually feel it like
this right Uh well that that is all you need
to know right now about Nam Pie Not much just
to understand that you know that these operations are possible
So um see when you when you're building a machine
learning mortal or something like So let's say your customer
comes to you and say that he gives you some

English: 
data and you want to build animal model on top
off it One thing that people do is that they
will actually build the model intestinal But it is always
very good that if you can come up with a
story about the data so visualizations actually help youto make
a story from the data Sit on then show toe
your customer off somebody so invite only have a library
card A Mac bluntly Okay that is actually the origin
A library for visualization But these days it's very rare
that you use math lot limb directly We are using
a library Corsi born on top of it So Seaborn
is the action library that people use Seaborn is built
on top of that bra clip and this has much
more visualizations That is also one more visualization Likely that

English: 
data and you want to build animal model on top
off it One thing that people do is that they
will actually build the model intestinal But it is always
very good that if you can come up with a
story about the data so visualizations actually help youto make
a story from the data Sit on then show toe
your customer off somebody so invite only have a library
card A Mac bluntly Okay that is actually the origin
A library for visualization But these days it's very rare
that you use math lot limb directly We are using
a library Corsi born on top of it So Seaborn
is the action library that people use Seaborn is built
on top of that bra clip and this has much
more visualizations That is also one more visualization Likely that

English: 
city fall tabloids be a business that is not this
so invite on That is a separate life buddy That
is Ah okay Scaler I literally ordered but mostly what
he uses Seaborn But I'm talking with an extra library
So now let me ask you something So let's say
you have some data Okay Let's say you have only
in danger So they knew Say visualization Normally they say
there is something called a uni very eight On by
radiated There is something all you need vary it on
by radiated You know very it means you are looking
at a single variable and then you're visualizing that it
by radiate means we're looking at two different variables And
then you're visualizing the data For example let's stay The
age is off people in this class Okay so let's
say I want to plot a graph okay Considering all

English: 
city fall tabloids be a business that is not this
so invite on That is a separate life buddy That
is Ah okay Scaler I literally ordered but mostly what
he uses Seaborn But I'm talking with an extra library
So now let me ask you something So let's say
you have some data Okay Let's say you have only
in danger So they knew Say visualization Normally they say
there is something called a uni very eight On by
radiated There is something all you need vary it on
by radiated You know very it means you are looking
at a single variable and then you're visualizing that it
by radiate means we're looking at two different variables And
then you're visualizing the data For example let's stay The
age is off people in this class Okay so let's
say I want to plot a graph okay Considering all

English: 
the ages off people in this class Okay so that
is my intention I just want of blood a graph
and I'm just considering only one thing It is nothing
but the age of people in this class Sorry So
So can you tell me what kindof visualization Not in
a fight on in general If I'm asking you to
plot indigenous what will you do Do you know any
names or stuff if you're having indigenous or floating numbers
And if it a single you money Very eight It
is called a hist O gram scored a hist o
gram And how does it hissed A gram Looked like
it will look like this Okay And you will see

English: 
the ages off people in this class Okay so that
is my intention I just want of blood a graph
and I'm just considering only one thing It is nothing
but the age of people in this class Sorry So
So can you tell me what kindof visualization Not in
a fight on in general If I'm asking you to
plot indigenous what will you do Do you know any
names or stuff if you're having indigenous or floating numbers
And if it a single you money Very eight It
is called a hist O gram scored a hist o
gram And how does it hissed A gram Looked like
it will look like this Okay And you will see

English: 
this kind off like this So here we will have
the age off The people all right so different from
ages will be there So they said Oh no Like
2030 35 40 Bye Charts normally is categorical right Different
categories You want beans This is beans So this is
a didn't actually So you will have an aged between
20 to 2500 different Oh have been on then How
many people in that So basically the idea is that
you have an axis where the invasion or the float
How many does that number is there And that'll be
sort of like a bin Right Arrange night So 20
to 25 32 35 on then how many are there
in that So I have like five people or 10
people So you look at it it looks similar to
this I will show you this practically But I'm just
saying normally now in the same thing if I want

English: 
this kind off like this So here we will have
the age off The people all right so different from
ages will be there So they said Oh no Like
2030 35 40 Bye Charts normally is categorical right Different
categories You want beans This is beans So this is
a didn't actually So you will have an aged between
20 to 2500 different Oh have been on then How
many people in that So basically the idea is that
you have an axis where the invasion or the float
How many does that number is there And that'll be
sort of like a bin Right Arrange night So 20
to 25 32 35 on then how many are there
in that So I have like five people or 10
people So you look at it it looks similar to
this I will show you this practically But I'm just
saying normally now in the same thing if I want

English: 
a string So this is like people But let's say
I just want to draw a graph off people from
this class based on the city You're coming from the
Bangla Chennai That's a string column What is that car
that started his toga Damn that's a bar chart right
So that is about well there is not much difference
between these two The only difference you can see is
that here we will have our own A Mumbai Chennai
bangle Lord on these bars will be separated They won't
be together in a history Graham These are all together
here We would have separate separate separate ones like Mumbai
It's in Bangla because you're basically looking at a string
column and saying that how many people are from Mumbai
from tonight from bangle categorical you will have spaces between
the distinct bars in this That's what I call a

English: 
a string So this is like people But let's say
I just want to draw a graph off people from
this class based on the city You're coming from the
Bangla Chennai That's a string column What is that car
that started his toga Damn that's a bar chart right
So that is about well there is not much difference
between these two The only difference you can see is
that here we will have our own A Mumbai Chennai
bangle Lord on these bars will be separated They won't
be together in a history Graham These are all together
here We would have separate separate separate ones like Mumbai
It's in Bangla because you're basically looking at a string
column and saying that how many people are from Mumbai
from tonight from bangle categorical you will have spaces between
the distinct bars in this That's what I call a

English: 
bar chart Actually So in university it normally you will
grow a history Graham or we will grow about Chuck
That's very common Now let's talk about by varied where
you have to variable toe compared I want to compare
which one Ha ha ha So usually we say there
is something or history or you know the other one
is bar chat right now What if you have to
our variables right By variant analysis for example on just
considering to ah indigenous for example I'm considering toe Indigenous
for example So I'm looking at the age of people
on then the salary So I want to compare age
and salary So both of them are work indigent or
Florida Let's consider the masking teacher So what kindof plot

English: 
bar chart Actually So in university it normally you will
grow a history Graham or we will grow about Chuck
That's very common Now let's talk about by varied where
you have to variable toe compared I want to compare
which one Ha ha ha So usually we say there
is something or history or you know the other one
is bar chat right now What if you have to
our variables right By variant analysis for example on just
considering to ah indigenous for example I'm considering toe Indigenous
for example So I'm looking at the age of people
on then the salary So I want to compare age
and salary So both of them are work indigent or
Florida Let's consider the masking teacher So what kindof plot

English: 
will you do for this No Dodie X Y X
rays the hallways Yeah Who's that Scatter plot It's a
scatter This is Carla Scatter plot white because your graph
will look like this Huh So you here you would
have I don't know age here We'll have salary right
on Then you will have people like this scatter plot
so each dot will represent a person a combination So
age of 30 and a salary It would be like
this display so you'll have a lot of darts like
this Now this is a bit confusing Confusing in the
sinister plot is good but normally you just don't want
to blot it You plotted And it is in most
of the statistical methods you will learn statistics Afternoon What

English: 
will you do for this No Dodie X Y X
rays the hallways Yeah Who's that Scatter plot It's a
scatter This is Carla Scatter plot white because your graph
will look like this Huh So you here you would
have I don't know age here We'll have salary right
on Then you will have people like this scatter plot
so each dot will represent a person a combination So
age of 30 and a salary It would be like
this display so you'll have a lot of darts like
this Now this is a bit confusing Confusing in the
sinister plot is good but normally you just don't want
to blot it You plotted And it is in most
of the statistical methods you will learn statistics Afternoon What

English: 
we do is that we try to fit a line
into the blotch so you will fit a line like
this Why Because this will show you that trend off
your you know analysis by simply looking at a scatter
plot You don't know what is happening There are so
many things right so that our statistical methods using that
you can fit a line So now if I fit
a line the Linus in the middle and it is
like this So this means there is a relation as
the age goes off the salary or so goes up
in some other scatter plots When you do it's so
you're floating something else If you fit the line the
line will fit like this That means there is no
relation So you have some commands and methods to fritter
line using distributions You can call a distribution and say
that I want to fit a line tow this I
never show you So it will fit it and show

English: 
we do is that we try to fit a line
into the blotch so you will fit a line like
this Why Because this will show you that trend off
your you know analysis by simply looking at a scatter
plot You don't know what is happening There are so
many things right so that our statistical methods using that
you can fit a line So now if I fit
a line the Linus in the middle and it is
like this So this means there is a relation as
the age goes off the salary or so goes up
in some other scatter plots When you do it's so
you're floating something else If you fit the line the
line will fit like this That means there is no
relation So you have some commands and methods to fritter
line using distributions You can call a distribution and say
that I want to fit a line tow this I
never show you So it will fit it and show

English: 
you that What is the pendency off your graph Alright
The words watch side you have So this is called
up Scattered right No What if you want to do
something else You want to look at people who are
coming from different city by buried analysis You want to
take a look at people who are coming from different
city on Dhe Then compare the salary So I want
to find out whether salary has an impact off a
person who is coming from a city So that is
again by radiate But what is the problem here My
variables are the city's A string Onda salary sir Number
What will you plot You can't block thing Scatter will
not work My Bob will not work Bye bye Chart
Okay Bye Charge the unknown discussing now that's off topic

English: 
you that What is the pendency off your graph Alright
The words watch side you have So this is called
up Scattered right No What if you want to do
something else You want to look at people who are
coming from different city by buried analysis You want to
take a look at people who are coming from different
city on Dhe Then compare the salary So I want
to find out whether salary has an impact off a
person who is coming from a city So that is
again by radiate But what is the problem here My
variables are the city's A string Onda salary sir Number
What will you plot You can't block thing Scatter will
not work My Bob will not work Bye bye Chart
Okay Bye Charge the unknown discussing now that's off topic

English: 
Let's get that later You may not Football boots There
is something you have three bubbles Like complied I mean
so technically there is something called a box block I
mean this is what we use in Seaborn So I
am so there are 1000 types off Lots were discussing
specific toe Seaborn like are you analytics light So you
Because you are learning for more from the statistical point
of somebody somebody ask you like what kind of a
plot Your answer This block box plots actually And I
don't think maybe you have Ah seen blocks plot It's
very red light but the idea is very simple What
box floored us is like this So let's say there
are three cities you saw City will be here Bangla
said night Then what is that Delhi or Mumbai Something

English: 
Let's get that later You may not Football boots There
is something you have three bubbles Like complied I mean
so technically there is something called a box block I
mean this is what we use in Seaborn So I
am so there are 1000 types off Lots were discussing
specific toe Seaborn like are you analytics light So you
Because you are learning for more from the statistical point
of somebody somebody ask you like what kind of a
plot Your answer This block box plots actually And I
don't think maybe you have Ah seen blocks plot It's
very red light but the idea is very simple What
box floored us is like this So let's say there
are three cities you saw City will be here Bangla
said night Then what is that Delhi or Mumbai Something

English: 
Three cities And then you will see something like this
It's a veer dah Enough plot I don't know how
many of you have seen this Have you seen this
kind of a plot Probably Have you seen some beard
A plot like this is gonna box plot but it
is more important on disinvited me Insight So So what
it actually does is that there is something called mean
and median You will know already meanest mean So what
is the difference are the same No median is different
For example you are calculating the average salary off people
in this class We are all here now let's say
I invite Mark Zuckerberg Go sit in the class on
Then if you calculate the average salary all of us

English: 
Three cities And then you will see something like this
It's a veer dah Enough plot I don't know how
many of you have seen this Have you seen this
kind of a plot Probably Have you seen some beard
A plot like this is gonna box plot but it
is more important on disinvited me Insight So So what
it actually does is that there is something called mean
and median You will know already meanest mean So what
is the difference are the same No median is different
For example you are calculating the average salary off people
in this class We are all here now let's say
I invite Mark Zuckerberg Go sit in the class on
Then if you calculate the average salary all of us

English: 
will be millionaires That is mean investor What will happen
It'll impacted So Mark Zuckerberg has billions off the whole
insanity You calculate the mean What will happen The Everest
class salary will be 10,000,100 million men You're can easily
become millionaires That's mean But if I do the same
with Median what did this It'll order the salaries Indy
ascending order and pick the middle value You'll get much
more sense on the later right So in the box
plot what happens is that it'll pick Bangla broke and
the salaries will be arranged in person Tie in a
median fashion and show you the middle value So like
if I look at you can see that people from
Delhi has more salad because this is the median off
daily and this is more than this So by looking
at this I can say that people from Delhi has
more salary comfort to people from Chennai compared to people
from the angle So this will draw you percentiles 25

English: 
will be millionaires That is mean investor What will happen
It'll impacted So Mark Zuckerberg has billions off the whole
insanity You calculate the mean What will happen The Everest
class salary will be 10,000,100 million men You're can easily
become millionaires That's mean But if I do the same
with Median what did this It'll order the salaries Indy
ascending order and pick the middle value You'll get much
more sense on the later right So in the box
plot what happens is that it'll pick Bangla broke and
the salaries will be arranged in person Tie in a
median fashion and show you the middle value So like
if I look at you can see that people from
Delhi has more salad because this is the median off
daily and this is more than this So by looking
at this I can say that people from Delhi has
more salary comfort to people from Chennai compared to people
from the angle So this will draw you percentiles 25

English: 
percentile 50 percentile 75% time on box It like this
So when you have an indigent and string normally what
we do is a box plot to get an idea
Now the point is that what if I want to
further divide this into male and female So going from
your by very eight I want three radiates So I
want to look at bang lords and ideally I want
deplored the salaries within that I want male and female
so things will become more complicated You will see some
more like this here One more box will come That's
how the drop that thing will work Because now again
you're categorizing work male and female But that's not a
good idea Because if you know 34 variable plotting plotting
with work But you cannot make sense off what is
happening right So So the visualizations are not very powerful
But so now believe Udo Univ idiot And by variant
analysis anything more than that It's not typical yah Good

English: 
percentile 50 percentile 75% time on box It like this
So when you have an indigent and string normally what
we do is a box plot to get an idea
Now the point is that what if I want to
further divide this into male and female So going from
your by very eight I want three radiates So I
want to look at bang lords and ideally I want
deplored the salaries within that I want male and female
so things will become more complicated You will see some
more like this here One more box will come That's
how the drop that thing will work Because now again
you're categorizing work male and female But that's not a
good idea Because if you know 34 variable plotting plotting
with work But you cannot make sense off what is
happening right So So the visualizations are not very powerful
But so now believe Udo Univ idiot And by variant
analysis anything more than that It's not typical yah Good

English: 
idea to do And that is exactly where your Emmel
and all are going to help right Machine learning And
or so for example I have some sales execs on
my sales are declining every month so I want to
know why the sales are going down so I can
easily draw that off I can say the age of
my executing on the sales he's doing They'll give me
a graph and show me that OK probably that is
in this age But now I'm thinking I want to
include the age off the person the sale and also
from its city He's coming now I want to include
age from its cities Coming is he married How much
distance he is traveling So I want to include that
say seven or eight parameters so you cannot draw that
That is where you say it Call a machine learning
I'll go to them Let this guy walk on or
these features seven or eight features and then tell me
my my sales are declining That is we're actually a
mailbox right So basically you can say that it is

English: 
idea to do And that is exactly where your Emmel
and all are going to help right Machine learning And
or so for example I have some sales execs on
my sales are declining every month so I want to
know why the sales are going down so I can
easily draw that off I can say the age of
my executing on the sales he's doing They'll give me
a graph and show me that OK probably that is
in this age But now I'm thinking I want to
include the age off the person the sale and also
from its city He's coming now I want to include
age from its cities Coming is he married How much
distance he is traveling So I want to include that
say seven or eight parameters so you cannot draw that
That is where you say it Call a machine learning
I'll go to them Let this guy walk on or
these features seven or eight features and then tell me
my my sales are declining That is we're actually a
mailbox right So basically you can say that it is

English: 
an extension off your visualization not visualization but problem solving
Basically right So sometimes I handle the interplay of Mel
class and I give a very interesting example but this
is not a letter to visualization So we normally people
ask a lot like what this machine learning can explain
it you know So people talk a lot about machine
learning but I always give them a very simple answer
So if you drop Gordon like this right So let's
consider force and ideas So first quarter in this call
that KK So that means there are things which you
know that you know Right For example um you know
Java for example So you have a job a developer
so you know that You know job All right I
mean that is your understanding So first quarter in this
where you have the knowledge of something that you already

English: 
an extension off your visualization not visualization but problem solving
Basically right So sometimes I handle the interplay of Mel
class and I give a very interesting example but this
is not a letter to visualization So we normally people
ask a lot like what this machine learning can explain
it you know So people talk a lot about machine
learning but I always give them a very simple answer
So if you drop Gordon like this right So let's
consider force and ideas So first quarter in this call
that KK So that means there are things which you
know that you know Right For example um you know
Java for example So you have a job a developer
so you know that You know job All right I
mean that is your understanding So first quarter in this
where you have the knowledge of something that you already

English: 
know the second quarter in this k d K You
know things you do not know So what is that
for example mission learning You don't know machine learning which
you know Right So that is that second card So
I believe that things that you don't know that you
know All right I even don't cash me And I
even told this uh what you say skiing right Have
you ever been skiing now right Yeah So I went
skiing and these guys fit all these things to me
on Then normally what they do they will come to
you because you're not skiing right And they were slowly
slowly make your ski But for some reason I don't
know whether he didn't like me or not He just
pushed me from the top Then I was in the

English: 
know the second quarter in this k d K You
know things you do not know So what is that
for example mission learning You don't know machine learning which
you know Right So that is that second card So
I believe that things that you don't know that you
know All right I even don't cash me And I
even told this uh what you say skiing right Have
you ever been skiing now right Yeah So I went
skiing and these guys fit all these things to me
on Then normally what they do they will come to
you because you're not skiing right And they were slowly
slowly make your ski But for some reason I don't
know whether he didn't like me or not He just
pushed me from the top Then I was in the

English: 
third quarter and I knew I know skiing I really
escape I mean I never thought I know skiing but
he pushed And I'm like Oh my God I'm actually
skiing I saw so third quarter And these things which
you do not know that you know you learn from
experience or feedback Then why did the fourth quarter and
things you know I don't know that you know No
that's all right Okay Maybe thinks uh yeah things which
you don't know that you will never know right Well
yeah So now how do you put it in perspective
So this is your normal analysis This is like your
sequel queries You know programming All right because things which
you know that you know So you have some data
You want to write a sequel Query You know really
great eyes there You know the query You know everything

English: 
third quarter and I knew I know skiing I really
escape I mean I never thought I know skiing but
he pushed And I'm like Oh my God I'm actually
skiing I saw so third quarter And these things which
you do not know that you know you learn from
experience or feedback Then why did the fourth quarter and
things you know I don't know that you know No
that's all right Okay Maybe thinks uh yeah things which
you don't know that you will never know right Well
yeah So now how do you put it in perspective
So this is your normal analysis This is like your
sequel queries You know programming All right because things which
you know that you know So you have some data
You want to write a sequel Query You know really
great eyes there You know the query You know everything

English: 
on the second quadrant days things You know that you
don't know For example this is were business intelligence and
or comes into pictures B I for example I have
some data on dhe I have ah visualization Cold like
tableau So I'm plotting a visualization graph O graph So
things which you know that you don't know So I
have the last year sales later but I don't know
whether my company's doing good or doing back So I
used a visualization to little bit Should I said data
after it does I know that Okay I know what
is happening Third quarter in these things which you do
not know that you know those So that's like a
feedback mechanism So some of this our data mining and
all will help you to do this So data mining
and our force in this this this machine fourth quarter
And this the gold mine That is where you are

English: 
on the second quadrant days things You know that you
don't know For example this is were business intelligence and
or comes into pictures B I for example I have
some data on dhe I have ah visualization Cold like
tableau So I'm plotting a visualization graph O graph So
things which you know that you don't know So I
have the last year sales later but I don't know
whether my company's doing good or doing back So I
used a visualization to little bit Should I said data
after it does I know that Okay I know what
is happening Third quarter in these things which you do
not know that you know those So that's like a
feedback mechanism So some of this our data mining and
all will help you to do this So data mining
and our force in this this this machine fourth quarter
And this the gold mine That is where you are

English: 
Meaning somebody is going to give you some data And
they are going to tell you that Tell me something
which I do not know about this on I can
never figure it out which will help me as well
That's where you fit And that's actual definition right the
machine Learning is where you have some data on You
have no clue I mean you already know something about
the data but you're trying to figure out something which
is not possible to any three cards All right you're
trying to understand something which nobody cannot otherwise give you
an idea boat So we're just going to get some
data on your toe get a useful insight from the
data and then show that's all you're going in Mm
So four quadrant is actually where am l algorithms and
or will come into play so usually do this example
And that is why this is actually very costly The
people were working in this quadrant so this may be
the lower salary I'm not generally but then these guys

English: 
Meaning somebody is going to give you some data And
they are going to tell you that Tell me something
which I do not know about this on I can
never figure it out which will help me as well
That's where you fit And that's actual definition right the
machine Learning is where you have some data on You
have no clue I mean you already know something about
the data but you're trying to figure out something which
is not possible to any three cards All right you're
trying to understand something which nobody cannot otherwise give you
an idea boat So we're just going to get some
data on your toe get a useful insight from the
data and then show that's all you're going in Mm
So four quadrant is actually where am l algorithms and
or will come into play so usually do this example
And that is why this is actually very costly The
people were working in this quadrant so this may be
the lower salary I'm not generally but then these guys

English: 
might get more salary more Sally this is the highest
salary Probably lookers for plotting these graphs I'll show you
Yes I'll be used Only Sieber bluntly We don't use
much So the only difference between Seaborn and plotless like
bluntly can have this kind off If you hold your
mouse and dark it will show the data See Bone
doesn't do that If you do a plot you can
see the floor It'll not sure the numbers Broccoli is
much more interactive Apart from that not major differences are
there between them So let's look into this visualization also
from the you know not book Find off you So
you just need to upload a notebook I'll tell you
which notebook Just go to a pure heart Onder de
stop You should have a notebook Can you see Despite

English: 
might get more salary more Sally this is the highest
salary Probably lookers for plotting these graphs I'll show you
Yes I'll be used Only Sieber bluntly We don't use
much So the only difference between Seaborn and plotless like
bluntly can have this kind off If you hold your
mouse and dark it will show the data See Bone
doesn't do that If you do a plot you can
see the floor It'll not sure the numbers Broccoli is
much more interactive Apart from that not major differences are
there between them So let's look into this visualization also
from the you know not book Find off you So
you just need to upload a notebook I'll tell you
which notebook Just go to a pure heart Onder de
stop You should have a notebook Can you see Despite

English: 
on visualization just open that uploaded or so they need
some data so I can say off floored this housing
prices That is a housing process The data you can
upload it What one is the notebook When is a
data you're going to use Well I'm not covering everything
but something which is important for you So just run

English: 
on visualization just open that uploaded or so they need
some data so I can say off floored this housing
prices That is a housing process The data you can
upload it What one is the notebook When is a
data you're going to use Well I'm not covering everything
but something which is important for you So just run

English: 
this first cell and also the second cell So basically
what are the importing We are importing pandas SPD You
are importing Seaborn as a sameness number as MP mad
floridly pipe lot spl t So we're importing Matt wrote
Lipsey born on the last line You see this math
lord live in line What This means normal Even you
poach graphs The problem is that the notebook will not
display that graphic deported but it will not display on
the screen So you are to add this in line
functionality so it will display that in the cell That
is why we are adding this inland On what Here
what we're doing here is that we are just reading
the housing data and just look at the shape off
the later So this data set is actually quite complicated
in the sense it has around 81 columns Uh Lord
of Garlands actually So if I show you that that

English: 
this first cell and also the second cell So basically
what are the importing We are importing pandas SPD You
are importing Seaborn as a sameness number as MP mad
floridly pipe lot spl t So we're importing Matt wrote
Lipsey born on the last line You see this math
lord live in line What This means normal Even you
poach graphs The problem is that the notebook will not
display that graphic deported but it will not display on
the screen So you are to add this in line
functionality so it will display that in the cell That
is why we are adding this inland On what Here
what we're doing here is that we are just reading
the housing data and just look at the shape off
the later So this data set is actually quite complicated
in the sense it has around 81 columns Uh Lord
of Garlands actually So if I show you that that

English: 
is such housing prices see this has around 81 column
so it's very difficult to show the old columns But
what it actually has is that this is the housing
sales data from us So you will have the square
feet number of bedroom number of bathroom and all the
properties of the house basically on the sale price And
all right so there are different different columns You can
actually go ahead there to understand how I see it
So you have Ah Lord friend is Lord Area Street
Lord shape utilities pool area These are all the columns
we have so many Many columns are there So read
the later You can also look at the column So
these are all the problems we have What is the
foundation Where The basement square feet What is the basement
ex Portia Where's the bedroom Square feet and all these
things are there You can actually are able to read

English: 
is such housing prices see this has around 81 column
so it's very difficult to show the old columns But
what it actually has is that this is the housing
sales data from us So you will have the square
feet number of bedroom number of bathroom and all the
properties of the house basically on the sale price And
all right so there are different different columns You can
actually go ahead there to understand how I see it
So you have Ah Lord friend is Lord Area Street
Lord shape utilities pool area These are all the columns
we have so many Many columns are there So read
the later You can also look at the column So
these are all the problems we have What is the
foundation Where The basement square feet What is the basement
ex Portia Where's the bedroom Square feet and all these
things are there You can actually are able to read

English: 
the data I mean Lord the data Yes right Yeah
So let's look at the uni variant analysis So what
I'm going to do I'm going to do a beest
plot on the Lord area column So Lord area is
a colon which has indigent kind of value anomaly in
case us off Ur Seaborn When you want to do
our history Graham you will say it best plot display
It is your history them and it is very easy
You will say sn s dot best plot and you
will say I want to look a TTE lord area
There is something called Katie It is force I'll tell
you what it is But if I run this this
is how it looks like So this is Ah hist
o gram which is talking about uh watch the Lord
area on There is something called Katie Ikea The yeast

English: 
the data I mean Lord the data Yes right Yeah
So let's look at the uni variant analysis So what
I'm going to do I'm going to do a beest
plot on the Lord area column So Lord area is
a colon which has indigent kind of value anomaly in
case us off Ur Seaborn When you want to do
our history Graham you will say it best plot display
It is your history them and it is very easy
You will say sn s dot best plot and you
will say I want to look a TTE lord area
There is something called Katie It is force I'll tell
you what it is But if I run this this
is how it looks like So this is Ah hist
o gram which is talking about uh watch the Lord
area on There is something called Katie Ikea The yeast

English: 
and sore kernel density is to me I'll tell you
what it is It is false right now Okay but
can you make some useful inferences from this plot If
you see this are you able to make any inferences
from this plot No no it's Yeah So what A
one in France which I can make is that there
are a lot off out layers in the data or
what you say that it's a lot of schooners in
the data meaning a lot off data is actually shifting
here right I mean most off the you know our
data that is coming in this 600 or 500 range
like this Strange actually And here also have warrants for
their very very smart So this is called out players
in the data our players means in some of the

English: 
and sore kernel density is to me I'll tell you
what it is It is false right now Okay but
can you make some useful inferences from this plot If
you see this are you able to make any inferences
from this plot No no it's Yeah So what A
one in France which I can make is that there
are a lot off out layers in the data or
what you say that it's a lot of schooners in
the data meaning a lot off data is actually shifting
here right I mean most off the you know our
data that is coming in this 600 or 500 range
like this Strange actually And here also have warrants for
their very very smart So this is called out players
in the data our players means in some of the

English: 
machine learning problems and or you need to remove our
players Right So a common example is like I said
the salary off marks hooker but like you know So
if I'm plotting the salary of everyone and if there
is a millionaire or billionaire that's fallen out player because
that may impact our overall you know analysis in some
cases in a mill algorithms we consider them as an
outlier in some cases will remove them so to avoid
missing the data So this actually has our players This
is actually shifting towards this time Okay It's not a
U uniform distribution that we have That's one thing If
you keep this Katie is true What will happen So
let's keep this Katie is true huh Wait Well this
there is only one dimension X There is a lot
area So you are You are taking the Lord area
and the Lord area starts from zero to let's say
bullock or something And then you're finding how many points

English: 
machine learning problems and or you need to remove our
players Right So a common example is like I said
the salary off marks hooker but like you know So
if I'm plotting the salary of everyone and if there
is a millionaire or billionaire that's fallen out player because
that may impact our overall you know analysis in some
cases in a mill algorithms we consider them as an
outlier in some cases will remove them so to avoid
missing the data So this actually has our players This
is actually shifting towards this time Okay It's not a
U uniform distribution that we have That's one thing If
you keep this Katie is true What will happen So
let's keep this Katie is true huh Wait Well this
there is only one dimension X There is a lot
area So you are You are taking the Lord area
and the Lord area starts from zero to let's say
bullock or something And then you're finding how many points

English: 
are there So there are probably 200 or more than
100 houses in this Lord areas of Roto 50 or
something And then again this much like that All right
so they said the number of houses which has this
lord area So if you run the split Katie equals
true The only difference is that it was sort off
like draw I have graphed kind of structure within this
and try to fit all the points so the cartel
will be one So you will learn about Katie distribution
later But basically what it tries to do is that
it will try to fit all these points within Sort
of like a graph So that is some miss actually
one if you add them together Okay These are technically
used in statistics Formally range F X axis you get

English: 
are there So there are probably 200 or more than
100 houses in this Lord areas of Roto 50 or
something And then again this much like that All right
so they said the number of houses which has this
lord area So if you run the split Katie equals
true The only difference is that it was sort off
like draw I have graphed kind of structure within this
and try to fit all the points so the cartel
will be one So you will learn about Katie distribution
later But basically what it tries to do is that
it will try to fit all these points within Sort
of like a graph So that is some miss actually
one if you add them together Okay These are technically
used in statistics Formally range F X axis you get

English: 
so right now you cannot There is a very remote
place I'll show you how to do that Okay um
so now if you're looking at this have a look
at this here I'm saying an s tennis dot Count
blotch Okay And what is the thing that I'm considering
Here exterior First on data is housing So let's just
run this and see what it is So what is
this Can you tell me what kind of a graph
is this It is a bar sack Because what are
you doing here If you want a bar 30 will
say count blotch on the exterior the courting the exterior
of you know courting what What you're using that is
this denial metal you know So these things settle pelota
bar chart like this Now what is the second line
1/2 added so If I just commend that I'll tell

English: 
so right now you cannot There is a very remote
place I'll show you how to do that Okay um
so now if you're looking at this have a look
at this here I'm saying an s tennis dot Count
blotch Okay And what is the thing that I'm considering
Here exterior First on data is housing So let's just
run this and see what it is So what is
this Can you tell me what kind of a graph
is this It is a bar sack Because what are
you doing here If you want a bar 30 will
say count blotch on the exterior the courting the exterior
of you know courting what What you're using that is
this denial metal you know So these things settle pelota
bar chart like this Now what is the second line
1/2 added so If I just commend that I'll tell

English: 
you so This is useful See the second line is
actually what I'm doing is that I'm taking the X
axis Andhra ticketing it a bit toe fit the points
See now you have been ill and everything but you're
not able to read them right Because that our collector
so to remove that it's like a standard line off
court You add this court you will say set extract
flavors You will say get rotation 40 So basically what
we happen they will just spread evenly so you can
read them So this line you can add if you
just want to read them So I know you can
see that most number off them are Green Island Least
is what Something is break or something So this is
how you Porter uh watch what What is this But
tonight Okay give me So let's goto Yeah so have
a look at this So what is this This is

English: 
you so This is useful See the second line is
actually what I'm doing is that I'm taking the X
axis Andhra ticketing it a bit toe fit the points
See now you have been ill and everything but you're
not able to read them right Because that our collector
so to remove that it's like a standard line off
court You add this court you will say set extract
flavors You will say get rotation 40 So basically what
we happen they will just spread evenly so you can
read them So this line you can add if you
just want to read them So I know you can
see that most number off them are Green Island Least
is what Something is break or something So this is
how you Porter uh watch what What is this But
tonight Okay give me So let's goto Yeah so have
a look at this So what is this This is

English: 
called a wreck plot in case off Cibona scholar wrecked
Lord So what are you plotting here It's a buy
variant analysis You are plotting Lord area and sale price
So you are thinking whether there is a relation between
the Lord area and the sale price on Lord area
and stale price Both our work imagers tonight both are
indigenous So what is that It's a scatter right on
What it will do is that it will fit a
regression line along with this That Is this a regression
line This is that the regulation line that it fits
now I think I have 100 it Ah So I
have added it here So let me show you something
So now again if you look at here even though
this plot looks nice that a lot off out layers
Look at this point I look at this point So
here is where the density actually shows it very clearly
But you have Lord off out liars here So this

English: 
called a wreck plot in case off Cibona scholar wrecked
Lord So what are you plotting here It's a buy
variant analysis You are plotting Lord area and sale price
So you are thinking whether there is a relation between
the Lord area and the sale price on Lord area
and stale price Both our work imagers tonight both are
indigenous So what is that It's a scatter right on
What it will do is that it will fit a
regression line along with this That Is this a regression
line This is that the regulation line that it fits
now I think I have 100 it Ah So I
have added it here So let me show you something
So now again if you look at here even though
this plot looks nice that a lot off out layers
Look at this point I look at this point So
here is where the density actually shows it very clearly
But you have Lord off out liars here So this

English: 
is your sale price and this is a large area
So there are some houses like this where the Lord
area is very high on Then the sale price is
very low or so on here You know you have
some houses where the Lord area is very less but
the sale price is very high but they can be
very less not very more but so you just want
to remove out layers You don't want them so there
is a way you can do it So in Seaborn
let me see if it works alone Have a look
at this score What I'm doing there is a function
called Quanta There's a function called Quanta What I'm doing
I'm picking the Lord area I'm saying that I want
Juan Tile boy and Fight boy 95.99 What do you
think this is doing This is finding the person type
So in the Lord area I want to find what
is the 0.5 point 95 or fifth or 95th or
99th value if I arrange them in the media in
order So if I run this I can't see 950.5

English: 
is your sale price and this is a large area
So there are some houses like this where the Lord
area is very high on Then the sale price is
very low or so on here You know you have
some houses where the Lord area is very less but
the sale price is very high but they can be
very less not very more but so you just want
to remove out layers You don't want them so there
is a way you can do it So in Seaborn
let me see if it works alone Have a look
at this score What I'm doing there is a function
called Quanta There's a function called Quanta What I'm doing
I'm picking the Lord area I'm saying that I want
Juan Tile boy and Fight boy 95.99 What do you
think this is doing This is finding the person type
So in the Lord area I want to find what
is the 0.5 point 95 or fifth or 95th or
99th value if I arrange them in the media in
order So if I run this I can't see 950.5

English: 
Is this 0.95 at this 0.99 aces Now there is
a problem because uh boy and five is 9478 But
when I go to 0.99 the values very high 37
fire 67 et cetera Right So because about layers because
that is very high So what This point if I
didn't Comedians median value is around 10,000 Right But you
are the highest value is around 37 5 So that
means clearly there are some out players in my data
So if I want to remove out liars I can
do things like this I can simply say I'm again
doing ah flawed But I'm saying that housing lock I
just want to pick the Lord area which is less
Dan Quan tile 0.95 So I am removing everything which
is about 95 on If I do applaud now Okay

English: 
Is this 0.95 at this 0.99 aces Now there is
a problem because uh boy and five is 9478 But
when I go to 0.99 the values very high 37
fire 67 et cetera Right So because about layers because
that is very high So what This point if I
didn't Comedians median value is around 10,000 Right But you
are the highest value is around 37 5 So that
means clearly there are some out players in my data
So if I want to remove out liars I can
do things like this I can simply say I'm again
doing ah flawed But I'm saying that housing lock I
just want to pick the Lord area which is less
Dan Quan tile 0.95 So I am removing everything which
is about 95 on If I do applaud now Okay

English: 
so we need to housing sub rights or data is
housing step If I do this now can you see
So now what I did I just say that it
has housing has sub Okay now I'm plotting again with
Lord Tyrion sale price Can you see It's much more
You know what to say without out layers Because I'm
considering on little later till 95 points on the points
are much more You know I lying together So by
looking at this the half we can probably say that
is a radiation I mean the you know lying is
actually pointing towards upwards So you can say that as
the Lord area increases sale price Also so one way
to remove your out players is to use a quantity
So fight out the quanta la Onda get the beauty
and value Then if you feel that after 70% days
every value is very high You see I want to
filter it Ivan warned after 70 Then put it on
removing individual values I don't think that it's possible Like

English: 
so we need to housing sub rights or data is
housing step If I do this now can you see
So now what I did I just say that it
has housing has sub Okay now I'm plotting again with
Lord Tyrion sale price Can you see It's much more
You know what to say without out layers Because I'm
considering on little later till 95 points on the points
are much more You know I lying together So by
looking at this the half we can probably say that
is a radiation I mean the you know lying is
actually pointing towards upwards So you can say that as
the Lord area increases sale price Also so one way
to remove your out players is to use a quantity
So fight out the quanta la Onda get the beauty
and value Then if you feel that after 70% days
every value is very high You see I want to
filter it Ivan warned after 70 Then put it on
removing individual values I don't think that it's possible Like

English: 
I cannot pick an individual value and removing some of
the values who can move like this No I just
took their appointment Fight can be any number So right
now when I did the quanta ll I saw that
Europe 195 17,000 Right So my media nous 10,000 Okay
that is a major So 20 up to 20 years
in this fine So up 2.95 I'm okay but when
I got a 900 huge difference so I just thought
I'd keep it at 95 so it can be any
number so that you need to decide and uh take
her decision What number you want I run here This
line off this boy and fight so that is needed
for this act so that nobody comes in or the

English: 
I cannot pick an individual value and removing some of
the values who can move like this No I just
took their appointment Fight can be any number So right
now when I did the quanta ll I saw that
Europe 195 17,000 Right So my media nous 10,000 Okay
that is a major So 20 up to 20 years
in this fine So up 2.95 I'm okay but when
I got a 900 huge difference so I just thought
I'd keep it at 95 so it can be any
number so that you need to decide and uh take
her decision What number you want I run here This
line off this boy and fight so that is needed
for this act so that nobody comes in or the

English: 
way number 50% any number of data you get So
let's see how One million points Okay one million houses
are there And price of one million houses He fights
a point fairly minimal value I'm glad I use them
in the order Don't give me that right No that
is depending on the column That is depending on the
call I'm right You're not looking at the whole data
So hear my analysis on Lord area So I will
first pick the Lord area and run the con tile
to get how the distribution is I'm running Kwan tile
on the Lord area column It doesn't consider a date
I'd consider only Lord area Carl So what did This
is Very simple That's what So I'm saying North Korea
right Lord area Dr Qanta on Then I'm saying let's

English: 
way number 50% any number of data you get So
let's see how One million points Okay one million houses
are there And price of one million houses He fights
a point fairly minimal value I'm glad I use them
in the order Don't give me that right No that
is depending on the column That is depending on the
call I'm right You're not looking at the whole data
So hear my analysis on Lord area So I will
first pick the Lord area and run the con tile
to get how the distribution is I'm running Kwan tile
on the Lord area column It doesn't consider a date
I'd consider only Lord area Carl So what did This
is Very simple That's what So I'm saying North Korea
right Lord area Dr Qanta on Then I'm saying let's

English: 
a point or two just as an example Okay so
why didn't do it Larry is a lot area in
the ascending Arctic So not a really start with 12345
Whatever number you have on then it will calculate the
median off that So if I said 123450.5 the middle
value will be your first point to our 20 percentile
Whatever value comes in that party begin So then you
can look at the data and say that Okay point
Oh so this this is roughly there to Indy It's
20% off the data If you reach at that point
is the value coming So then you know Right Okay
whether it is an outlier or I should remove it
or not And then you can make a decision that's
up to you to decide howto make a decision But
this is one way of doing it Yeah So now
you see this is much more uh what you say
Okay so I just want to pick up one more
interesting thing So basically what it is if you look
at the coral himself our data that is something called

English: 
a point or two just as an example Okay so
why didn't do it Larry is a lot area in
the ascending Arctic So not a really start with 12345
Whatever number you have on then it will calculate the
median off that So if I said 123450.5 the middle
value will be your first point to our 20 percentile
Whatever value comes in that party begin So then you
can look at the data and say that Okay point
Oh so this this is roughly there to Indy It's
20% off the data If you reach at that point
is the value coming So then you know Right Okay
whether it is an outlier or I should remove it
or not And then you can make a decision that's
up to you to decide howto make a decision But
this is one way of doing it Yeah So now
you see this is much more uh what you say
Okay so I just want to pick up one more
interesting thing So basically what it is if you look
at the coral himself our data that is something called

English: 
square feet There is something or square feet but uh
what is the original data But the name off the
data for me created inserts a LeBeau housing Is it
hosting I don't know Housing Right So when you look
at the columns right there are certain columns where this
choir feet comes into picture let me show you Where
is it Huh So here you have basemen The square
feet here How total basement square feet Then again some
basement Then again some basement square feet So basically what
I'm doing here is that by running this I'm just
selecting all the columns where there is an SF So
you want to do some analysis based on this square

English: 
square feet There is something or square feet but uh
what is the original data But the name off the
data for me created inserts a LeBeau housing Is it
hosting I don't know Housing Right So when you look
at the columns right there are certain columns where this
choir feet comes into picture let me show you Where
is it Huh So here you have basemen The square
feet here How total basement square feet Then again some
basement Then again some basement square feet So basically what
I'm doing here is that by running this I'm just
selecting all the columns where there is an SF So
you want to do some analysis based on this square

English: 
feet Now imagine I wantto plot a graph where you
know I want to pour Plot my paper graphs So
how many columns are there It's square feet Nine columns
I have nine columns where there is a square feet
in it Now for each column I wantto photograph because
that is basement square feet There is strife it off
the kitchen total square feet for each I want to
plot a graph My table drops I want a plot
But all in a single can waas right So if
you want to do that let me split it Otherwise
no this is ah list comprehension we discussed right ext
Rx in list This is called list comprehension because all
off this is within a list Okay so I can't
say Call I'm named for Carl um name in housing

English: 
feet Now imagine I wantto plot a graph where you
know I want to pour Plot my paper graphs So
how many columns are there It's square feet Nine columns
I have nine columns where there is a square feet
in it Now for each column I wantto photograph because
that is basement square feet There is strife it off
the kitchen total square feet for each I want to
plot a graph My table drops I want a plot
But all in a single can waas right So if
you want to do that let me split it Otherwise
no this is ah list comprehension we discussed right ext
Rx in list This is called list comprehension because all
off this is within a list Okay so I can't
say Call I'm named for Carl um name in housing

English: 
dot columns So basically what it does No no For
the housing dot columns It will say if a surface
in the courtroom name it'll just return it That's what
started as a self underscore columns So if I look
at a cell phone the score column somewhere he'll be
there SF underscored Coram's You will get all the columns
where there is the SF Square Fredericton So now my
problem is I just wantto plot nine graphs in one
graph Okay because I have nine square faith data for
each square feet I want a plot to say probably
my customary saying that I just want to know whether
the Squire feet off my basement affected skate off it
to see are probably the kitchen square feet Actually it's
affecting the total steel arm under total I want each
area to be plotted So how do you do it
But in order to show this I need to know

English: 
dot columns So basically what it does No no For
the housing dot columns It will say if a surface
in the courtroom name it'll just return it That's what
started as a self underscore columns So if I look
at a cell phone the score column somewhere he'll be
there SF underscored Coram's You will get all the columns
where there is the SF Square Fredericton So now my
problem is I just wantto plot nine graphs in one
graph Okay because I have nine square faith data for
each square feet I want a plot to say probably
my customary saying that I just want to know whether
the Squire feet off my basement affected skate off it
to see are probably the kitchen square feet Actually it's
affecting the total steel arm under total I want each
area to be plotted So how do you do it
But in order to show this I need to know

English: 
first show you something Go for this huh So that
is a very useful function I don't know how to
show this Can I reduce Uh can you see So
what I did You have the notebook with you right
Uh there is something called a sup Lords you can
say number off Rose three Number of columns three fixed
size penned by pen Basically wanted Little return a canvas
to me where there are three columns and three rows
Basically it is like a subplot So what you're doing
here You have one canvas within that there I like
nine individual graphs within that So that command that you
need to use is that floor door subfloor How many
rows and how many columns on If you change this
fixed size the total size will change That's only what

English: 
first show you something Go for this huh So that
is a very useful function I don't know how to
show this Can I reduce Uh can you see So
what I did You have the notebook with you right
Uh there is something called a sup Lords you can
say number off Rose three Number of columns three fixed
size penned by pen Basically wanted Little return a canvas
to me where there are three columns and three rows
Basically it is like a subplot So what you're doing
here You have one canvas within that there I like
nine individual graphs within that So that command that you
need to use is that floor door subfloor How many
rows and how many columns on If you change this
fixed size the total size will change That's only what

English: 
is happening So if you run only this line what
you get is this plot And if I want to
get the first graf I can say 00 Then again
there's a row one ex cetera So if you look
at this score So here what I'm doing is for
I in range Corland on Let me see Let me
see if I want to print it But in those
on problems Oh am I just increased this form then
I think you are able to see that right Uh
yeah Let me see if it works Okay Mmm Have
a look at what I'm doing This first line is
basically plotting a canvas where you will have three year
olds and through Corland So totally you'll get nine small

English: 
is happening So if you run only this line what
you get is this plot And if I want to
get the first graf I can say 00 Then again
there's a row one ex cetera So if you look
at this score So here what I'm doing is for
I in range Corland on Let me see Let me
see if I want to print it But in those
on problems Oh am I just increased this form then
I think you are able to see that right Uh
yeah Let me see if it works Okay Mmm Have
a look at what I'm doing This first line is
basically plotting a canvas where you will have three year
olds and through Corland So totally you'll get nine small

English: 
grouse within that Then look at this four Look for
I in the range off zero coma length office of
course What is linked Office of column Mine So I'm
opening a four You I'm saying that the ranges roto
the nine So 0 to 8 I'm saying rules equal
toe I division three columns equal toe I percent a
story So what will happen for each So this will
Basically if you run this court it'll print 00010 to
1 So can you understand how it is printing this
Because first I will be watching zero So if your
exit or it was zero more luxury this one you
will get so right against the EuroPass industry will be
zero So this is like accessing the first paragraph If
I say 00 I will access this graph I show
you how to use in the cord orifices 01 of

English: 
grouse within that Then look at this four Look for
I in the range off zero coma length office of
course What is linked Office of column Mine So I'm
opening a four You I'm saying that the ranges roto
the nine So 0 to 8 I'm saying rules equal
toe I division three columns equal toe I percent a
story So what will happen for each So this will
Basically if you run this court it'll print 00010 to
1 So can you understand how it is printing this
Because first I will be watching zero So if your
exit or it was zero more luxury this one you
will get so right against the EuroPass industry will be
zero So this is like accessing the first paragraph If
I say 00 I will access this graph I show
you how to use in the cord orifices 01 of

English: 
black says this against your movements Alexis this light So
I'm just first writing a simpler for loop So I
have the index positions to access the individual sub graphs
Right So basically if you're running this court you will
get this on Then what are you doing If you
scroll down in this court I will say rows and
columns And again I was I want to write a
reg explored OK where I was x equal toe columns
off I So this will start from the photo Why
Equal to sales price data is housing If I run
this I should I really get it Can you see
So basically what is happening here is that again you're
doing Ah explored This is our explored Only the only
difference here is that you will say SF column Soft
I So what will happen initially It will be columns
off I means it'll go toe 000102 extra Why Sales

English: 
black says this against your movements Alexis this light So
I'm just first writing a simpler for loop So I
have the index positions to access the individual sub graphs
Right So basically if you're running this court you will
get this on Then what are you doing If you
scroll down in this court I will say rows and
columns And again I was I want to write a
reg explored OK where I was x equal toe columns
off I So this will start from the photo Why
Equal to sales price data is housing If I run
this I should I really get it Can you see
So basically what is happening here is that again you're
doing Ah explored This is our explored Only the only
difference here is that you will say SF column Soft
I So what will happen initially It will be columns
off I means it'll go toe 000102 extra Why Sales

English: 
price on data is this so you can plot my
tipple graph So here you can see probably you Look
at this second graf there is this basement If i
n s f tow the graph is very linear The
middle line right It's very horizontal So this means there
is no impact on the basement if I n s
stuff toe square feet with the sales price But if
you look at the first graph you can see that
it's a very steep claim So that means there is
a impact on that and I So you can also
plot like sub grouse and all if you won So
just to show you a simple example So that is
so you are plotting the basement area of its sale
price or each off this The Y axis is actually
sale price just right It is a library It analysis
by what you mean by bayou area There are two

English: 
price on data is this so you can plot my
tipple graph So here you can see probably you Look
at this second graf there is this basement If i
n s f tow the graph is very linear The
middle line right It's very horizontal So this means there
is no impact on the basement if I n s
stuff toe square feet with the sales price But if
you look at the first graph you can see that
it's a very steep claim So that means there is
a impact on that and I So you can also
plot like sub grouse and all if you won So
just to show you a simple example So that is
so you are plotting the basement area of its sale
price or each off this The Y axis is actually
sale price just right It is a library It analysis
by what you mean by bayou area There are two

English: 
variables What are the variables One variable the sale price
What other variable Other mind The rebels are there square
feet off basement square foot off this So for each
this X axis is changing Can you see this X
axis is work basemen s f one This is why
basement SFO This is basement unit but I access is
saying right sale price So for each square feet you're
plotting against the same So imagine like you have a
house with 10 rooms for each rooms by a feeder
floating a graph So you have to pass the Y
axis right What is it Right that time passing this
one Right So basically here What will happen if I
call this I So this is like the first If
you run this for Luke what will happen It will

English: 
variables What are the variables One variable the sale price
What other variable Other mind The rebels are there square
feet off basement square foot off this So for each
this X axis is changing Can you see this X
axis is work basemen s f one This is why
basement SFO This is basement unit but I access is
saying right sale price So for each square feet you're
plotting against the same So imagine like you have a
house with 10 rooms for each rooms by a feeder
floating a graph So you have to pass the Y
axis right What is it Right that time passing this
one Right So basically here What will happen if I
call this I So this is like the first If
you run this for Luke what will happen It will

English: 
generate I Shorty right 0001 is calling this basement Whatever
is that this media But this column whatever you're having
the colony applauding Onyx You need something on the X
axis right So each coiling name I'm calling because my
you know where that's a self underscore column is a
list So if I just bring the suffering that score
Colon let me just print it Okay Um sf underscore
cars right If I just pretend it it is just
a list It's a friend A scorecard is just a
list right from this I'm calling the individual What values
Get on it again and I'll show you So this
is the X axis right What is X axis from

English: 
generate I Shorty right 0001 is calling this basement Whatever
is that this media But this column whatever you're having
the colony applauding Onyx You need something on the X
axis right So each coiling name I'm calling because my
you know where that's a self underscore column is a
list So if I just bring the suffering that score
Colon let me just print it Okay Um sf underscore
cars right If I just pretend it it is just
a list It's a friend A scorecard is just a
list right from this I'm calling the individual What values
Get on it again and I'll show you So this
is the X axis right What is X axis from

English: 
my stuff Underscore columns 1234 each Each one Did you
understand this Give me one moment Let me go up
Did you understand this This line No So this is
a re created itself Corland Great I think Probably You
missed it Say the point This Where is it If
you go up my orders in a later I scarred
housing And if you look at the call himself housing
I have around 80 columns Right on in that there
are nine columns which has Ah square feet So we
have those columns What is it in this Yeah So
this is one column It is called Basement Final sf
one wherever you have a 70 square feet then out

English: 
my stuff Underscore columns 1234 each Each one Did you
understand this Give me one moment Let me go up
Did you understand this This line No So this is
a re created itself Corland Great I think Probably You
missed it Say the point This Where is it If
you go up my orders in a later I scarred
housing And if you look at the call himself housing
I have around 80 columns Right on in that there
are nine columns which has Ah square feet So we
have those columns What is it in this Yeah So
this is one column It is called Basement Final sf
one wherever you have a 70 square feet then out

English: 
our little basement square feet So here what I'm doing
I am writing a list comprehension I'm saying that I
want to filter all the core Lem's which matches a
safe and store it in something or less of columns
And if I simply run this you can see the
columns Sorry These are the columns So how many columns
are there Nine columns are there from that Employing an
ex Texas That's what is happening here Ah So you
are getting one by one night Okay so they're more
visualizations but we will not go to everything I mean
so you just need to have a basic idea right
Okay Oh you didn't see that this thing right Box
blurting I think I removed it There is a box
float Some already there Right Ah here Here But there'll
be one problem Okay So what are you doing here
You're staying that box plot You're flirting Exterior and sales

English: 
our little basement square feet So here what I'm doing
I am writing a list comprehension I'm saying that I
want to filter all the core Lem's which matches a
safe and store it in something or less of columns
And if I simply run this you can see the
columns Sorry These are the columns So how many columns
are there Nine columns are there from that Employing an
ex Texas That's what is happening here Ah So you
are getting one by one night Okay so they're more
visualizations but we will not go to everything I mean
so you just need to have a basic idea right
Okay Oh you didn't see that this thing right Box
blurting I think I removed it There is a box
float Some already there Right Ah here Here But there'll
be one problem Okay So what are you doing here
You're staying that box plot You're flirting Exterior and sales

English: 
price Right Um but again the same problem will happen
here because if I go box plot a d X
axis If you look you are not able to understand
Right So you need to add that line Just get
it from here Would be use it scattered we use
right I'm not here to be used this one rotation
so I just need to add this I guess a
scroll down Yeah So now if I added here and
then run it now that's more like it No Start
branding Uh should I put any night you want Sorry

English: 
price Right Um but again the same problem will happen
here because if I go box plot a d X
axis If you look you are not able to understand
Right So you need to add that line Just get
it from here Would be use it scattered we use
right I'm not here to be used this one rotation
so I just need to add this I guess a
scroll down Yeah So now if I added here and
then run it now that's more like it No Start
branding Uh should I put any night you want Sorry

English: 
Okay I should said it first Right Bad right Just
keep it here OK Ok Yeah So sorry Study Study
study study Study Yeah Guarded So why that biggest guarded
words So you need to assign it first Because why
you need to assign it Because the origin of Clark
and or be ordered So we're saving it as a
plot And then you're saying that on the label I
want to change So this is how the box port
looks like And what are we planting here You are

English: 
Okay I should said it first Right Bad right Just
keep it here OK Ok Yeah So sorry Study Study
study study Study Yeah Guarded So why that biggest guarded
words So you need to assign it first Because why
you need to assign it Because the origin of Clark
and or be ordered So we're saving it as a
plot And then you're saying that on the label I
want to change So this is how the box port
looks like And what are we planting here You are

English: 
plotting the material used for exterior painting against the sales
price Right So you can see that So what is
the inference you can use from this What do you
invest in by this plot Make some inferences from this
I'll Claris fine Apart from Oakland What this tells you
about the house So if somebody is asking So how
is the cost involved in this For example if somebody
is using denial the night is here right re nihilists
here Right Then what do you have This is what
My tail right Metal is cheaper right Because here you
have the different courting And there you have the sale
price so you can see that denial is actually very
high But also look at the length off this guy

English: 
plotting the material used for exterior painting against the sales
price Right So you can see that So what is
the inference you can use from this What do you
invest in by this plot Make some inferences from this
I'll Claris fine Apart from Oakland What this tells you
about the house So if somebody is asking So how
is the cost involved in this For example if somebody
is using denial the night is here right re nihilists
here Right Then what do you have This is what
My tail right Metal is cheaper right Because here you
have the different courting And there you have the sale
price so you can see that denial is actually very
high But also look at the length off this guy

English: 
that also matters So this means What is this thing
I don't know plywood or something No semen So this
is very big That means a lot off houses Actually
in this that also matters Actually right on this door
You see they're out layers in this box Plot this
darts You see right there the outliers there is a
vato represented But normally you see there's a dot So
probably you know in this plot most off the Rangers
are here but there may be out late here Actually
that is what you represent here on If you look
at something like this guy this is very costly I
don't know what it is Something but it is again
very costly because the median value is very high So
you always look at this median value and see how
the plot is actually going That's a box plot This
line This is a standard for you Say access it
a condition or this one So this one actually So

English: 
that also matters So this means What is this thing
I don't know plywood or something No semen So this
is very big That means a lot off houses Actually
in this that also matters Actually right on this door
You see they're out layers in this box Plot this
darts You see right there the outliers there is a
vato represented But normally you see there's a dot So
probably you know in this plot most off the Rangers
are here but there may be out late here Actually
that is what you represent here on If you look
at something like this guy this is very costly I
don't know what it is Something but it is again
very costly because the median value is very high So
you always look at this median value and see how
the plot is actually going That's a box plot This
line This is a standard for you Say access it
a condition or this one So this one actually So

English: 
if you look at some of them this actually encounters
the outliers Also So just say is that this is
pointing towards out left some of the in general there
is nothing to be done The size actually matters For
example this data is very big right So if you
look at this line you can see that the total
enters actually big on this one is very small because
the amount of data that you have is very small
No this'll one which I don't know I don't think
so No I don't think the length actually mattress The
median line actually matters where it is Median line is
what actually matters I don't think Tank Island actually matters
but general considerations like if the amount of data you
have it's more than the length will be more torte
line emcee thes other values that farts in that range
for example of plywood These many values are there You'll

English: 
if you look at some of them this actually encounters
the outliers Also So just say is that this is
pointing towards out left some of the in general there
is nothing to be done The size actually matters For
example this data is very big right So if you
look at this line you can see that the total
enters actually big on this one is very small because
the amount of data that you have is very small
No this'll one which I don't know I don't think
so No I don't think the length actually mattress The
median line actually matters where it is Median line is
what actually matters I don't think Tank Island actually matters
but general considerations like if the amount of data you
have it's more than the length will be more torte
line emcee thes other values that farts in that range
for example of plywood These many values are there You'll

English: 
get a number But if this is it this this
box is bigger More malice of it Nine is just
a short of visualization This is actual values are here
Only because you look at this guy This is very
smart right And this is bigger Soapbox plot actually started
to Lane's Actually No no no You should not consider
this You should consider this box is actually not these
days on also in the middle of what you see
this line What do you see That is a median
value actually Thistles The range this'll get wasn't it Yes

English: 
get a number But if this is it this this
box is bigger More malice of it Nine is just
a short of visualization This is actual values are here
Only because you look at this guy This is very
smart right And this is bigger Soapbox plot actually started
to Lane's Actually No no no You should not consider
this You should consider this box is actually not these
days on also in the middle of what you see
this line What do you see That is a median
value actually Thistles The range this'll get wasn't it Yes

English: 
In this age Oh that's what you were asking Yeah
So if you look at the whole graph this is
the minimum This is the maximum Okay this is the
minimum value This is the maximum value and this is
clearly an outlier And this is the ah what you
say media So most of the points have sent their
over here It seems okay So a visualization I think
basic mutualization we have covered if anything is Eris spending
that will be discussed in your respective statistics classes Right
Because you should know what is the difference between excitable
explored and the normal course on how it looks like
What is the use off it Apart from that conditions
and all later when you get the actual data you

English: 
In this age Oh that's what you were asking Yeah
So if you look at the whole graph this is
the minimum This is the maximum Okay this is the
minimum value This is the maximum value and this is
clearly an outlier And this is the ah what you
say media So most of the points have sent their
over here It seems okay So a visualization I think
basic mutualization we have covered if anything is Eris spending
that will be discussed in your respective statistics classes Right
Because you should know what is the difference between excitable
explored and the normal course on how it looks like
What is the use off it Apart from that conditions
and all later when you get the actual data you

English: 
will be adding and discussing them okay you now need
to do is you No need to be able to
get the data toe solve this problem So therefore the
statistical way of thinking typically says you formally the problem
And then you get the data to solve that problem
The machine learning way of looking at things typically says
Here is the Vita Tell me what that data is
telling you Many of my colleagues and I myself have
run into this problem when going to interviews et cetera
et cetera and so sort off since you shouldn't say
that we're not getting jobs out there And so I
go toe to toe go to people who are hiding
and saying that Why don't you have statisticians and reach
an interesting conclusion to this entire discussion that sometimes around
the way the interviewer who's interviewing the statisticians for a
date a scientist's job asked the question Um here is

English: 
will be adding and discussing them okay you now need
to do is you No need to be able to
get the data toe solve this problem So therefore the
statistical way of thinking typically says you formally the problem
And then you get the data to solve that problem
The machine learning way of looking at things typically says
Here is the Vita Tell me what that data is
telling you Many of my colleagues and I myself have
run into this problem when going to interviews et cetera
et cetera and so sort off since you shouldn't say
that we're not getting jobs out there And so I
go toe to toe go to people who are hiding
and saying that Why don't you have statisticians and reach
an interesting conclusion to this entire discussion that sometimes around
the way the interviewer who's interviewing the statisticians for a
date a scientist's job asked the question Um here is

English: 
my detail What can you see And the sanitation answers
with something like What do you want to know And
the business guy says But that's no I want to
hire you on the statistician says But if you don't
tell me what you want to know how do I
know what to tell you And this goes round and
round No one's happy about this in depth process so
there's a difference in the week These two communities approach
things My job is not to resolve that because in
the world of your face You'll see a lot more
of this kind of thinking than you seen this because
in this world the details chief and the question is
expensive And you paid for asking the right question In
this world the question is cheapen The duty is expensive

English: 
my detail What can you see And the sanitation answers
with something like What do you want to know And
the business guy says But that's no I want to
hire you on the statistician says But if you don't
tell me what you want to know how do I
know what to tell you And this goes round and
round No one's happy about this in depth process so
there's a difference in the week These two communities approach
things My job is not to resolve that because in
the world of your face You'll see a lot more
of this kind of thinking than you seen this because
in this world the details chief and the question is
expensive And you paid for asking the right question In
this world the question is cheapen The duty is expensive

English: 
You're paid for collecting the leader So sometimes you will
be in a situation where this is going to be
important For example let's suppose you're trying to understand who's
going to buy my product You're asking the question Let's
say that my products aren't selling and you want to
find out why What will you do Get one data
So let's say that you're selling your Oh I don't
know What do you want to say Um water sell
watches Sit So let's of those people I'm buying buying
watches anymore which is a reality correct So you're a
watch company who buys watches this entire business model of
the watches disappearing Do you have watches Some of you
have He has actually surprising number If you have maybe
they do different things these days That that seems like
a very that that's a fitness device is not really
a watch it all So something like this was actually

English: 
You're paid for collecting the leader So sometimes you will
be in a situation where this is going to be
important For example let's suppose you're trying to understand who's
going to buy my product You're asking the question Let's
say that my products aren't selling and you want to
find out why What will you do Get one data
So let's say that you're selling your Oh I don't
know What do you want to say Um water sell
watches Sit So let's of those people I'm buying buying
watches anymore which is a reality correct So you're a
watch company who buys watches this entire business model of
the watches disappearing Do you have watches Some of you
have He has actually surprising number If you have maybe
they do different things these days That that seems like
a very that that's a fitness device is not really
a watch it all So something like this was actually

English: 
with my daughter at lunch today So she got something
like this I'm not sure My my my wife was
an entrepreneur Owns their own company She came back from
Delhi She came back with two of these I don't
know where she picked them up My daughter The first
thing she did she took one of this and she
took this thing out because you taught the whole responders
in on Mississippi idea that didn't occur to it I
mean that's a separate thing That's a nice little beautiful
Red respondents said so watches different thing But let's say
that you're a watch company Nobody's buying Your watches are
fewer People are buying your watches Now How you gonna
solve this problem How you gonna process this information What
do you want to do What do you want to
know Good morning Remember I'm asking this question also from
an analytical perspective So when you say that to check
the model and see what is not so let the
shoes the whole data question So you so first order
you see sales for whom and when and how How
do you structure your data How you How will you

English: 
with my daughter at lunch today So she got something
like this I'm not sure My my my wife was
an entrepreneur Owns their own company She came back from
Delhi She came back with two of these I don't
know where she picked them up My daughter The first
thing she did she took one of this and she
took this thing out because you taught the whole responders
in on Mississippi idea that didn't occur to it I
mean that's a separate thing That's a nice little beautiful
Red respondents said so watches different thing But let's say
that you're a watch company Nobody's buying Your watches are
fewer People are buying your watches Now How you gonna
solve this problem How you gonna process this information What
do you want to do What do you want to
know Good morning Remember I'm asking this question also from
an analytical perspective So when you say that to check
the model and see what is not so let the
shoes the whole data question So you so first order
you see sales for whom and when and how How
do you structure your data How you How will you

English: 
arrange the problem Okay that makes problems even harder because
now you're going to look for data that isn't with
you You know what he's like He's like Maybe people
are not buying watches because they buy something else That's
a reasonable thing But let's give this problem simple Let's
consider only data that is within You will go outside
No to it But let's say that I'm looking at
my data One data do I want to see and
what questions they want to ask It's so sales year
by year types And then what comparison's do I want
to do the oh region wise Each with what purpose
What question am I asking the data water section off
Customers are buying my what section of customers are buying

English: 
arrange the problem Okay that makes problems even harder because
now you're going to look for data that isn't with
you You know what he's like He's like Maybe people
are not buying watches because they buy something else That's
a reasonable thing But let's give this problem simple Let's
consider only data that is within You will go outside
No to it But let's say that I'm looking at
my data One data do I want to see and
what questions they want to ask It's so sales year
by year types And then what comparison's do I want
to do the oh region wise Each with what purpose
What question am I asking the data water section off
Customers are buying my what section of customers are buying

English: 
my products compared to what What my biggest set off
customers So that's also what that's when they go who
are my biggest customers That's a very interesting question to
ask except that that question implies that I needed to
know who my biggest set of customers are could have
bean But it's a good point Where is the bulk
of my sales coming from Then someone else said something
about time you know Is it going Is it going
down so you can look at things I think that
for which group of customers are my sales going down
the most For example you could ask that I'm not
saying that's the right question about that possible question to
ask So I suppose you follow that approach that I'm
trying to understand I know that my sales they're going
down That's an obvious thing I see you is telling
my CFO is telling me if I don't stop this
we are gonna be out of a job Good The
H empty factories in Bangalore and not in good shape
One of them I think has become the income tax

English: 
my products compared to what What my biggest set off
customers So that's also what that's when they go who
are my biggest customers That's a very interesting question to
ask except that that question implies that I needed to
know who my biggest set of customers are could have
bean But it's a good point Where is the bulk
of my sales coming from Then someone else said something
about time you know Is it going Is it going
down so you can look at things I think that
for which group of customers are my sales going down
the most For example you could ask that I'm not
saying that's the right question about that possible question to
ask So I suppose you follow that approach that I'm
trying to understand I know that my sales they're going
down That's an obvious thing I see you is telling
my CFO is telling me if I don't stop this
we are gonna be out of a job Good The
H empty factories in Bangalore and not in good shape
One of them I think has become the income tax

English: 
office Let someone in the Polish firm idea so that
that's gonna happen to me if I don't do this
once I know myself but I don't know by how
much And but it could be for hope so obvious
segments for which the sales are going down which segments
are saying is going down the most In which segments
are they going down a little bit How fast are
they going down I can push I can ask questions
of that Suck Now what conclusions At the end of
this do I want to be able to do How
do I need to How do I want to use
this information You know for this you usually follow something
like a three step process And you may have seen
this and discovers both these sites and these words should
be should be familiar to To some extent the first
is called descriptive The second is called Predictive and the
30 score prescriptive Have these was been introduced You at

English: 
office Let someone in the Polish firm idea so that
that's gonna happen to me if I don't do this
once I know myself but I don't know by how
much And but it could be for hope so obvious
segments for which the sales are going down which segments
are saying is going down the most In which segments
are they going down a little bit How fast are
they going down I can push I can ask questions
of that Suck Now what conclusions At the end of
this do I want to be able to do How
do I need to How do I want to use
this information You know for this you usually follow something
like a three step process And you may have seen
this and discovers both these sites and these words should
be should be familiar to To some extent the first
is called descriptive The second is called Predictive and the
30 score prescriptive Have these was been introduced You at

English: 
least in this contact list you've really I'm sure you
all cruise the web and look at blog's and things
like that Nothing new in this I'm sure But I
just want to say that context because gonna talk a
little bit of what Good Descriptive There's a secret so
descriptive predictive and prescriptive What is it Descriptive problem The
descriptive problem is a problem that says that this try
for me where I'm losing my sales and when I'm
losing my cells it just describes the problem for me
It tells me where the problem is If you look
it's it It isolates it well The predictive problem says
Look at this data and give me an idea as
to what might happen or what would happen if I
changed this that or the other So let's suppose I
do the following kind of idea I say that let
me relate my cells to my prices Will be trying

English: 
least in this contact list you've really I'm sure you
all cruise the web and look at blog's and things
like that Nothing new in this I'm sure But I
just want to say that context because gonna talk a
little bit of what Good Descriptive There's a secret so
descriptive predictive and prescriptive What is it Descriptive problem The
descriptive problem is a problem that says that this try
for me where I'm losing my sales and when I'm
losing my cells it just describes the problem for me
It tells me where the problem is If you look
it's it It isolates it well The predictive problem says
Look at this data and give me an idea as
to what might happen or what would happen if I
changed this that or the other So let's suppose I
do the following kind of idea I say that let
me relate my cells to my prices Will be trying

English: 
to understand that if I reduce my prices off my
watches will more people buy them on Mostly if I
made my watches Luxury items increase the price of a
watch removal Lewin brand and make a watching Aspirational thing
A decorative item a luxury item a brand item So
the people who had a watch not to see the
time but also is a prestige statement as a fashion
statement What it what it is If I knew this
and what will happen that's predictive I'm trying to predict
something based on it I'm trying to see if something
happens to let's say one part of my data what
will happen to the other part of my team and
then based on that the doctor carries out the predictive
analysis off you Because I see this I now think
you have this issue You have this thing going on
Let's say I'm diagnosing you as being pre diabetic You're
not here diabetic but you're happily on the way to

English: 
to understand that if I reduce my prices off my
watches will more people buy them on Mostly if I
made my watches Luxury items increase the price of a
watch removal Lewin brand and make a watching Aspirational thing
A decorative item a luxury item a brand item So
the people who had a watch not to see the
time but also is a prestige statement as a fashion
statement What it what it is If I knew this
and what will happen that's predictive I'm trying to predict
something based on it I'm trying to see if something
happens to let's say one part of my data what
will happen to the other part of my team and
then based on that the doctor carries out the predictive
analysis off you Because I see this I now think
you have this issue You have this thing going on
Let's say I'm diagnosing you as being pre diabetic You're
not here diabetic but you're happily on the way to

English: 
becoming a diabetic now Because of this I now have
to issue your prescription I know should tell you what
to do So there's a data that comes from you
that data in some ways model using the domain knowledge
that the doctor has and that modern has translated into
a into an action That action is designed to do
something difficult is designed to do something actually fairly complicated
The first action the doctor transfuse them One Let's do
no harm Hippocratic oath First we make sure that that
I don't do any unnecessary harm to the patient Then
let me shall I say optimizes on her welfare by
making sure that I control the black shoes or the
best thing that I post form the onset of diabetes
as best as I can It's a complex optimization problem
of some sort in the business Also it's a complex

English: 
becoming a diabetic now Because of this I now have
to issue your prescription I know should tell you what
to do So there's a data that comes from you
that data in some ways model using the domain knowledge
that the doctor has and that modern has translated into
a into an action That action is designed to do
something difficult is designed to do something actually fairly complicated
The first action the doctor transfuse them One Let's do
no harm Hippocratic oath First we make sure that that
I don't do any unnecessary harm to the patient Then
let me shall I say optimizes on her welfare by
making sure that I control the black shoes or the
best thing that I post form the onset of diabetes
as best as I can It's a complex optimization problem
of some sort in the business Also it's a complex

English: 
optimization problem I need to be able to sell more
watches but I also need to be able to make
money doing so I can increase my series But if
I increase my sales and my profits go down on
my earnings go down based on the cost and that's
the problem But at the same time if I tried
to run a profitable business and nobody buys my product
that also is not a particularly good idea Then there
are other issues We've been running the company I got
employees that I want to keep on the boards How
do it on the company in such a way So
that it means that particularly before us I have finances
to take care of five loans to repay How do
I get the cash flow in order to repay the
bank loans that I have So the prescription is to
meet lots and lots off requirements If you're building an
autonomous vacant you love situation saying the car has to
do this but it also has to follow certain other
rules For example if it sees someone crossing the road

English: 
optimization problem I need to be able to sell more
watches but I also need to be able to make
money doing so I can increase my series But if
I increase my sales and my profits go down on
my earnings go down based on the cost and that's
the problem But at the same time if I tried
to run a profitable business and nobody buys my product
that also is not a particularly good idea Then there
are other issues We've been running the company I got
employees that I want to keep on the boards How
do it on the company in such a way So
that it means that particularly before us I have finances
to take care of five loans to repay How do
I get the cash flow in order to repay the
bank loans that I have So the prescription is to
meet lots and lots off requirements If you're building an
autonomous vacant you love situation saying the car has to
do this but it also has to follow certain other
rules For example if it sees someone crossing the road

English: 
it should stop but it shouldn't stop very suddenly But
if it starts really suddenly it's gonna hurt the car
It's also probably going to hurt the driver so it
should needs to stop by shouldn't stop too Suddenly it
has to follow the rules of the road because otherwise
the computer will simply say Oh you want me to
avoid the person crossing the road I'm just gonna go
behind a bus anywhere Gregory would tell the Carter Please
don't do that because there's a house next to it
You can't just sort through it all You didn't tell
me that You just told me to avoid the person
you didn't tell me about the house Okay We'll put
that as a constrained in our program and see how
well it goes So prescription is problematic No I'm a
simple way of doing It might be to say that
description is how many centuries is without Carly scored Look
up Tricking for it will give you the answer collection
might be trying to guess how many centuries their college

English: 
it should stop but it shouldn't stop very suddenly But
if it starts really suddenly it's gonna hurt the car
It's also probably going to hurt the driver so it
should needs to stop by shouldn't stop too Suddenly it
has to follow the rules of the road because otherwise
the computer will simply say Oh you want me to
avoid the person crossing the road I'm just gonna go
behind a bus anywhere Gregory would tell the Carter Please
don't do that because there's a house next to it
You can't just sort through it all You didn't tell
me that You just told me to avoid the person
you didn't tell me about the house Okay We'll put
that as a constrained in our program and see how
well it goes So prescription is problematic No I'm a
simple way of doing It might be to say that
description is how many centuries is without Carly scored Look
up Tricking for it will give you the answer collection
might be trying to guess how many centuries their college

English: 
will score in the World Cup prescription might be How
do we get We are going to score more centuries
in the world And as you can figure out you're
going through a purely beat out based version of the
problem It was something that's only know emotionally about the
data Peter will help you but there's a lot more
than the data when it gets through that what we
do today What we do now once they're finished talking
to you is well we'll take a look at what
descriptive with descriptive part of Texas So the descriptive part
of analytics is talking about simply describing the data without
necessarily tryingto build any prediction or any models into it
I'm simply telling you the way it is This is
hard This is in itself not necessarily easy thing to
do because you need to know very well how to
do that And what are the ways in which one

English: 
will score in the World Cup prescription might be How
do we get We are going to score more centuries
in the world And as you can figure out you're
going through a purely beat out based version of the
problem It was something that's only know emotionally about the
data Peter will help you but there's a lot more
than the data when it gets through that what we
do today What we do now once they're finished talking
to you is well we'll take a look at what
descriptive with descriptive part of Texas So the descriptive part
of analytics is talking about simply describing the data without
necessarily tryingto build any prediction or any models into it
I'm simply telling you the way it is This is
hard This is in itself not necessarily easy thing to
do because you need to know very well how to
do that And what are the ways in which one

English: 
looks activated This is skillful in itself So for example
let's suppose that you are you're a you're a doctor
you go to the doctor and that the doctor is
looking at you looking at your symptoms and the doctor
recommends a blood test Now how does the doctor know
what black kids to recommend based on the symptoms But
remember that potentially there's an enormous amount of information in
you All of us is biological things carry any enormous
amount of information you know in our blood in our
new runs in our genes or whatever you're talking about
Big date As I said there's two meters inside every
cell and there a few 1,000,000,000 neurons in your head
You don't need to go far to see big data
You are together You are one walking example of big
deal We all are in that big data What you
needed out does that Dr No to see That's a
descriptive analytics problem The doctor is not doing any inference

English: 
looks activated This is skillful in itself So for example
let's suppose that you are you're a you're a doctor
you go to the doctor and that the doctor is
looking at you looking at your symptoms and the doctor
recommends a blood test Now how does the doctor know
what black kids to recommend based on the symptoms But
remember that potentially there's an enormous amount of information in
you All of us is biological things carry any enormous
amount of information you know in our blood in our
new runs in our genes or whatever you're talking about
Big date As I said there's two meters inside every
cell and there a few 1,000,000,000 neurons in your head
You don't need to go far to see big data
You are together You are one walking example of big
deal We all are in that big data What you
needed out does that Dr No to see That's a
descriptive analytics problem The doctor is not doing any inference

English: 
on it The doctor is not building a conclusion of
the doctor's not building any eye system on it but
it's still a heart problem was given the vast amount
of data that the doctor could potentially see The doctor
needs to know that I This is interesting to me
and this is interesting to me And this is interesting
to me And this is interesting to me in this
particular way For example a blood test Let's a full
set I drop I draw blood from you for a
particular purpose Let's say for blood sugar even you said
the biology of how much blood did separate searcher to
draw Um what just neither one of you I guess
I don't And if you are not this you know
prison little so I can say whatever I want You
won't understand what I'm saying We know but we're so
what time will be enough that this is a real
problem for me So you have a You have a

English: 
on it The doctor is not building a conclusion of
the doctor's not building any eye system on it but
it's still a heart problem was given the vast amount
of data that the doctor could potentially see The doctor
needs to know that I This is interesting to me
and this is interesting to me And this is interesting
to me And this is interesting to me in this
particular way For example a blood test Let's a full
set I drop I draw blood from you for a
particular purpose Let's say for blood sugar even you said
the biology of how much blood did separate searcher to
draw Um what just neither one of you I guess
I don't And if you are not this you know
prison little so I can say whatever I want You
won't understand what I'm saying We know but we're so
what time will be enough that this is a real
problem for me So you have a You have a

English: 
large amount of blood that's flowing through you We all
do This blood carries nutrients What that does is that
every time there is a new trend in flow the
blood looks a little different So if you eat your
blood looks a little different because that's your blood's job
The blood's job is to carry nutrients If you want
to run you want to walk If I'm walking around
my legs are getting energy from somewhere The energy need
to My legs has been carried from the blood and
it is being generated through inputs that I get some
of it because of the air that I breathe from
where it gets the oxygen to burn things something from
the food that I've written the nice lunch that I
had But it gets the calories to do that So
therefore based on what my energy requirements are and based
on what I've eaten My blood is not constant My
blood content is what is known as a random variable

English: 
large amount of blood that's flowing through you We all
do This blood carries nutrients What that does is that
every time there is a new trend in flow the
blood looks a little different So if you eat your
blood looks a little different because that's your blood's job
The blood's job is to carry nutrients If you want
to run you want to walk If I'm walking around
my legs are getting energy from somewhere The energy need
to My legs has been carried from the blood and
it is being generated through inputs that I get some
of it because of the air that I breathe from
where it gets the oxygen to burn things something from
the food that I've written the nice lunch that I
had But it gets the calories to do that So
therefore based on what my energy requirements are and based
on what I've eaten My blood is not constant My
blood content is what is known as a random variable

English: 
What's random about it Because it looks a different It
looks really different all the time Your blood at 12
o'clock is gonna look a little different to look Look
at midnight is Well look reunion really different from two
o'clock at noon because it's doing something a little different
The same phenomenon Is it everywhere If I were to
for example measure the temperature off the oi in your
car or in your tubular What do you think that
temperature will be It depends first of all depends where
the car is running or not independent with it has
you know not it depends on how much oil is
Depends on how you drive We depend on Tim progress
to the cut The answer is it depends and the
same is true for your body fluids So this becomes
a problem because if it isn't random they're from a
random quantity How do I conclude what your blood sugar

English: 
What's random about it Because it looks a different It
looks really different all the time Your blood at 12
o'clock is gonna look a little different to look Look
at midnight is Well look reunion really different from two
o'clock at noon because it's doing something a little different
The same phenomenon Is it everywhere If I were to
for example measure the temperature off the oi in your
car or in your tubular What do you think that
temperature will be It depends first of all depends where
the car is running or not independent with it has
you know not it depends on how much oil is
Depends on how you drive We depend on Tim progress
to the cut The answer is it depends and the
same is true for your body fluids So this becomes
a problem because if it isn't random they're from a
random quantity How do I conclude what your blood sugar

English: 
is How does the doctor reached that reach a conclusion
of any sort average of what average of particular duration
So there are multiple averages that you can get First
of all there's a question of saying that if I
take blood from you how is the blood usually collected
So the flavor Thomas comes and usually takes an injection
from one point let's say by some strange accident this
Italian based policy by same some strange accident Two different
people are drawing blood from two hands at the same
time Do not try this at all I suppose they
do this well We got the same blood Yes What
thing Look at the same time and I said Do
not do this at home But the same time you're
getting two different samples There's not just a question of

English: 
is How does the doctor reached that reach a conclusion
of any sort average of what average of particular duration
So there are multiple averages that you can get First
of all there's a question of saying that if I
take blood from you how is the blood usually collected
So the flavor Thomas comes and usually takes an injection
from one point let's say by some strange accident this
Italian based policy by same some strange accident Two different
people are drawing blood from two hands at the same
time Do not try this at all I suppose they
do this well We got the same blood Yes What
thing Look at the same time and I said Do
not do this at home But the same time you're
getting two different samples There's not just a question of

English: 
time Your blood is not gonna look the same even
within your body At one period of time You from
the left hand him from the right handed exactly the
same time It's not a good look There is a
slight There is a snake problem that summer Little of
you said that your heart is in the middle Your
heart is actually middle but it beats to the left
way because the heart is what the heart is both
a pump and a suction device The pump side is
on the left The suction side is under right so
you're black pulls out from your left side and it
goes back in on the right side So this ain't
a scene between your body between left and right one
seconds to go out the other sectors to come in
It's light It mixes up all in the middle So
one sampling ideas that I'm taking a sample off blood
from you and it's just one example The second question
is as you were saying it's a question of time

English: 
time Your blood is not gonna look the same even
within your body At one period of time You from
the left hand him from the right handed exactly the
same time It's not a good look There is a
slight There is a snake problem that summer Little of
you said that your heart is in the middle Your
heart is actually middle but it beats to the left
way because the heart is what the heart is both
a pump and a suction device The pump side is
on the left The suction side is under right so
you're black pulls out from your left side and it
goes back in on the right side So this ain't
a scene between your body between left and right one
seconds to go out the other sectors to come in
It's light It mixes up all in the middle So
one sampling ideas that I'm taking a sample off blood
from you and it's just one example The second question
is as you were saying it's a question of time

English: 
You can average over if you haven't your time This
a little easier You can say I'm going to do
this maybe before eating after reading Real after reading So
those of liver blood pressure tests for example Sorry blood
sugar test Once they ask you to do it fasting
and then they ask you to do it some two
hours after eating Do they tell you what to eat
Sometimes glucose Sometimes they don't have this sort of say
that Based on what you naturally let me figure out
what you are processing They expect you to eat a
typical meal and not go And you know large amounts
of KFC that is not for you Normally eat Just
eat what you normally eat vegetarian You'd normally eat normal
food and then figure it out Let's see how How
about your body's trying it out saying Do a normal
thing and I think another normal something Then one of

English: 
You can average over if you haven't your time This
a little easier You can say I'm going to do
this maybe before eating after reading Real after reading So
those of liver blood pressure tests for example Sorry blood
sugar test Once they ask you to do it fasting
and then they ask you to do it some two
hours after eating Do they tell you what to eat
Sometimes glucose Sometimes they don't have this sort of say
that Based on what you naturally let me figure out
what you are processing They expect you to eat a
typical meal and not go And you know large amounts
of KFC that is not for you Normally eat Just
eat what you normally eat vegetarian You'd normally eat normal
food and then figure it out Let's see how How
about your body's trying it out saying Do a normal
thing and I think another normal something Then one of

English: 
you said something very interesting the average things out Now
what does averaging do Neutralise That's an interesting word to
use Neutralizes things all right provide context Context off What
context is a good point So So what is the
doctor trying to do So let's let's simplify things a
little bit and say that Let's suppose that the doctor
has a special Let's give it a number Let's see
The doctor says that if you're black sugar is above
1 40 will do something If you're black shooter it's
a lesson 1 40 Margo do anything I don't know
what it is right number or not but let's make
it up Now The doctor is going to see from
you a number It may be a simple reading It
may be an average It may be a number of
things How is the doctor going to translate what they
see from you and compared it to the 1 40

English: 
you said something very interesting the average things out Now
what does averaging do Neutralise That's an interesting word to
use Neutralizes things all right provide context Context off What
context is a good point So So what is the
doctor trying to do So let's let's simplify things a
little bit and say that Let's suppose that the doctor
has a special Let's give it a number Let's see
The doctor says that if you're black sugar is above
1 40 will do something If you're black shooter it's
a lesson 1 40 Margo do anything I don't know
what it is right number or not but let's make
it up Now The doctor is going to see from
you a number It may be a simple reading It
may be an average It may be a number of
things How is the doctor going to translate what they
see from you and compared it to the 1 40

English: 
How is that comparison going to be made Exorbitant people
So let's suppose I have just one reading So let's
suppose that I have one reading and that reading Oh
I don't know is 1 35 I've just got one
reading from the 1 35 What does that tell you
Noticed Requite One target One argument is it's simple Let's
take a very machine learning computer science view to this
1 35 is less than 1 40 Ah so now
we say Yeah but you know what Let's say that
1 35 and another guy who say 141 20 There
should be something that says that this 1 35 is
a little bit more trouble Then 1 20 closely for
that special lady says So maybe you know there was
This special isn't quite as as simple as I thought

English: 
How is that comparison going to be made Exorbitant people
So let's suppose I have just one reading So let's
suppose that I have one reading and that reading Oh
I don't know is 1 35 I've just got one
reading from the 1 35 What does that tell you
Noticed Requite One target One argument is it's simple Let's
take a very machine learning computer science view to this
1 35 is less than 1 40 Ah so now
we say Yeah but you know what Let's say that
1 35 and another guy who say 141 20 There
should be something that says that this 1 35 is
a little bit more trouble Then 1 20 closely for
that special lady says So maybe you know there was
This special isn't quite as as simple as I thought

English: 
it was Second solve this problem in one of two
is one way to do this is to make this
1 40 a little range This summer is called fuzzy
logic you know it was a question you're asking becomes
fuzzy not as crisp You're not feeling with the data
You fiddling with that bounder you're fiddling with the standard
The other way to do that is to greet a
little uncertainty or create looking plus minus around the reading
It set fire on 1 35 saying that if this
is 1 35 and let's suppose that I go and
get another reading and the second reading that I get
is say 1 30 on the tone reading that I
get on the day after that it's a 1 32
and I'll see you OK it seems to be fine
I might say but let's suppose after 1 35 But

English: 
it was Second solve this problem in one of two
is one way to do this is to make this
1 40 a little range This summer is called fuzzy
logic you know it was a question you're asking becomes
fuzzy not as crisp You're not feeling with the data
You fiddling with that bounder you're fiddling with the standard
The other way to do that is to greet a
little uncertainty or create looking plus minus around the reading
It set fire on 1 35 saying that if this
is 1 35 and let's suppose that I go and
get another reading and the second reading that I get
is say 1 30 on the tone reading that I
get on the day after that it's a 1 32
and I'll see you OK it seems to be fine
I might say but let's suppose after 1 35 But

English: 
I got wasn't I do go a usual thing and
I measured again and this time it comes out as
1 57 on I'd do it again and it comes
out as 1 28 and I do it again It
comes out to be 1 52 So in both cases
one tiny I was probably a good number but in
one case is 1 35 was wearing very little when
the other cases 1 35 was wearing a lot which
gives me different ideas as to how to process it
So what Destructive Analytics talks about essentially is trying to
understand certain things about data that helps me get to
conclusions off this kind of little more rigorously Now to
be able to quantify what these plus minus is our
is gonna take a pick us a little bit of
type and we will not get that this residence We'll
get them next residence to say that in orderto in

English: 
I got wasn't I do go a usual thing and
I measured again and this time it comes out as
1 57 on I'd do it again and it comes
out as 1 28 and I do it again It
comes out to be 1 52 So in both cases
one tiny I was probably a good number but in
one case is 1 35 was wearing very little when
the other cases 1 35 was wearing a lot which
gives me different ideas as to how to process it
So what Destructive Analytics talks about essentially is trying to
understand certain things about data that helps me get to
conclusions off this kind of little more rigorously Now to
be able to quantify what these plus minus is our
is gonna take a pick us a little bit of
type and we will not get that this residence We'll
get them next residence to say that in orderto in

English: 
order to say I start 1 35 135 plus minus
something That question now needs to be answered But to
do that I need tohave to particular instruments at my
disposal One instrument that I need to have at my
disposal is to be able to know what to measure
I need to say what doesn't mean I need a
statement that says that maybe 95% confident that something is
happening I'm 95% sure that this is below 1 40
I need a way to express it And that is
the language of probability Who So what we will do
tomorrow is we introduce a little bit of the language
of probability it beats are unrelated to what we're doing
today So there's gonna be really good for disconnect But
what we're going to do is we're gonna create two
sets of instruments one instrument that is fairly descriptive in
nature and one set of instruments which is purely mathematical
in nature so that I can put a mathematical statement

English: 
order to say I start 1 35 135 plus minus
something That question now needs to be answered But to
do that I need tohave to particular instruments at my
disposal One instrument that I need to have at my
disposal is to be able to know what to measure
I need to say what doesn't mean I need a
statement that says that maybe 95% confident that something is
happening I'm 95% sure that this is below 1 40
I need a way to express it And that is
the language of probability Who So what we will do
tomorrow is we introduce a little bit of the language
of probability it beats are unrelated to what we're doing
today So there's gonna be really good for disconnect But
what we're going to do is we're gonna create two
sets of instruments one instrument that is fairly descriptive in
nature and one set of instruments which is purely mathematical
in nature so that I can put a mathematical statement

English: 
on top of a description And the reason I need
to do that is because of your description is not
helping me solve the problem that I've said It said
that I have said so Therefore what will happen is
you will see in certain medical tests You will not
see points like this You will see in Devil's your
number should be between this endless You're close your number
your HDL whatever should be Between this Since you won't
see a number you'll see a range The people typifies
a variation and in certain cases you will see specials
And maybe it's just a lower limited upper limit But
it also see a recommendation that says Please do this
again You know what I'm going to compare I can't
compare one number to one number one number one number
is typically a very bad place for any kind of
analysts to be in because you got no idea off
which is error prone and where the air it is

English: 
on top of a description And the reason I need
to do that is because of your description is not
helping me solve the problem that I've said It said
that I have said so Therefore what will happen is
you will see in certain medical tests You will not
see points like this You will see in Devil's your
number should be between this endless You're close your number
your HDL whatever should be Between this Since you won't
see a number you'll see a range The people typifies
a variation and in certain cases you will see specials
And maybe it's just a lower limited upper limit But
it also see a recommendation that says Please do this
again You know what I'm going to compare I can't
compare one number to one number one number one number
is typically a very bad place for any kind of
analysts to be in because you got no idea off
which is error prone and where the air it is

English: 
So therefore what happens is you try to improve one
of those numbers and so either by filling around with
range or by getting more measurements And you'll do that
and you see that as we go along a little
bit So this is a context for for what we
have in terms off terms of Get out Let's see
So this is a set of files that has bean
loaded It's a very standard set of files It's not
mine To be honest I just want to make sure
that I'm doing what I'm supposed to be doing So
for reasons that are more to do with security my
understanding the notebook will not access your drapes So keep
it on your desktop and not complicate life So and

English: 
So therefore what happens is you try to improve one
of those numbers and so either by filling around with
range or by getting more measurements And you'll do that
and you see that as we go along a little
bit So this is a context for for what we
have in terms off terms of Get out Let's see
So this is a set of files that has bean
loaded It's a very standard set of files It's not
mine To be honest I just want to make sure
that I'm doing what I'm supposed to be doing So
for reasons that are more to do with security my
understanding the notebook will not access your drapes So keep
it on your desktop and not complicate life So and

English: 
there is this notebook It's called cardio Goodness of good
What statistics your first to the idea that this comes
from the statistical way of thinking which as I said
opposed to the machine learning we're thinking is against to
be a little more problem First Data next which means
we worry about things like hypothesis and populations and sampling
and questions like that And the descriptive part refers to
the fact that it is not doing any inference It
is not predicting anything It's not prescribe You think it
is simply telling you what is there with respect Oh
certain questions that you might possibly ask for What is
the context to the case The market research team at
the company's assigned the task to identify the profile of
the typical customer freeze treadmill product offered by the company
Democracy System decides to investigate whether their differences across product

English: 
there is this notebook It's called cardio Goodness of good
What statistics your first to the idea that this comes
from the statistical way of thinking which as I said
opposed to the machine learning we're thinking is against to
be a little more problem First Data next which means
we worry about things like hypothesis and populations and sampling
and questions like that And the descriptive part refers to
the fact that it is not doing any inference It
is not predicting anything It's not prescribe You think it
is simply telling you what is there with respect Oh
certain questions that you might possibly ask for What is
the context to the case The market research team at
the company's assigned the task to identify the profile of
the typical customer freeze treadmill product offered by the company
Democracy System decides to investigate whether their differences across product

English: 
line with respect to Castro characteristics Exactly what you guys
were suggesting that I should do with respect to the
watch understand who does what Entirely logical The team decides
to collect data on individuals who purchase a treadmill at
a particular store during the past three months like watches
Then I'll collect looking at data for presidents and that
is in the fight in the CIA's you fight So
what you should have is you should have a C
S V file in the same victory and to the
magic of bison You don't have to worry able to
exact path before we get there Remember because we're looking
at this statistically before we get the data we should
have a rough idea as to what we're trying to
do And so they say that here the kinds of
data that we're looking at the kinds of products the
gender the ageing years education years relationship status annual household

English: 
line with respect to Castro characteristics Exactly what you guys
were suggesting that I should do with respect to the
watch understand who does what Entirely logical The team decides
to collect data on individuals who purchase a treadmill at
a particular store during the past three months like watches
Then I'll collect looking at data for presidents and that
is in the fight in the CIA's you fight So
what you should have is you should have a C
S V file in the same victory and to the
magic of bison You don't have to worry able to
exact path before we get there Remember because we're looking
at this statistically before we get the data we should
have a rough idea as to what we're trying to
do And so they say that here the kinds of
data that we're looking at the kinds of products the
gender the ageing years education years relationship status annual household

English: 
income average number of times the cost of plans to
use the treadmill each week average that number's a customer
expects to run walk each week on a self raided
fitness skill and want to fight where one is in
poor shape and five is an excellent ship Some of
this is data Some of this is opinion Some of
this is opinion masquerading as Gator like for example a
number of times the cost of plans to use the
treatment Hopefully wishful thinking It's still big guy You're asking
someone How many times will you use it Heroes Billy
No problem Seven times a week Oh we'll see well
but still it's come from somewhere So So what has
happened The way to think about This is to say
that I want to understand a certain something and the
sudden son certain So something has to do with the
characteristics of customer customer characteristics And to do this you

English: 
income average number of times the cost of plans to
use the treadmill each week average that number's a customer
expects to run walk each week on a self raided
fitness skill and want to fight where one is in
poor shape and five is an excellent ship Some of
this is data Some of this is opinion Some of
this is opinion masquerading as Gator like for example a
number of times the cost of plans to use the
treatment Hopefully wishful thinking It's still big guy You're asking
someone How many times will you use it Heroes Billy
No problem Seven times a week Oh we'll see well
but still it's come from somewhere So So what has
happened The way to think about This is to say
that I want to understand a certain something and the
sudden son certain So something has to do with the
characteristics of customer customer characteristics And to do this you

English: 
can then use either you can either take let's say
a marketing point of view Who buys it would also
take a product engineering kind of you What's is it
was what kind of product should I make it Sit
in business as you probably for those of you on
anything Entrepreneurs one hand up one hand of the closet
enterpreneurs from when I could figure out Sometimes it's unclear
what that word means You know it was You think
you are confident enough to call yourself one Oh you're
doing that ineighty space Ifyou're entrepreneur for example in physical
product space or even in software space one of the
things you often think about is what's called a product
market fit which is you're making something How do you
match between what you can make and what people will
buy Because if you make something that people do not
buy that doesn't make any sense On the other hand
if you identify what people buy and you can't make

English: 
can then use either you can either take let's say
a marketing point of view Who buys it would also
take a product engineering kind of you What's is it
was what kind of product should I make it Sit
in business as you probably for those of you on
anything Entrepreneurs one hand up one hand of the closet
enterpreneurs from when I could figure out Sometimes it's unclear
what that word means You know it was You think
you are confident enough to call yourself one Oh you're
doing that ineighty space Ifyou're entrepreneur for example in physical
product space or even in software space one of the
things you often think about is what's called a product
market fit which is you're making something How do you
match between what you can make and what people will
buy Because if you make something that people do not
buy that doesn't make any sense On the other hand
if you identify what people buy and you can't make

English: 
it It also doesn't make much sense So the conclusion
that we were drawn this we will not drawn today
But the purpose is to be able to go towards
the conclusions off that kind Either isolate products isolate customers
and try and figure out what what they tell us
Pandas generally has a fair amount of statistics build into
it That's what it was originally built for number You
something that was built wolf or mathematical problems than anything
else So some of the mathematical I'll go to them
said I needed out there There are other stats I
plots and metal a plot life or see bone or
many other things that you've seen already Um by tennis
shoe figuring out how to arrange these libraries well enough
the shall we say that the programming biases sometimes shows
true in the libraries So I for one do not
remotely know this well enough to know what import up

English: 
it It also doesn't make much sense So the conclusion
that we were drawn this we will not drawn today
But the purpose is to be able to go towards
the conclusions off that kind Either isolate products isolate customers
and try and figure out what what they tell us
Pandas generally has a fair amount of statistics build into
it That's what it was originally built for number You
something that was built wolf or mathematical problems than anything
else So some of the mathematical I'll go to them
said I needed out there There are other stats I
plots and metal a plot life or see bone or
many other things that you've seen already Um by tennis
shoe figuring out how to arrange these libraries well enough
the shall we say that the programming biases sometimes shows
true in the libraries So I for one do not
remotely know this well enough to know what import up

English: 
front but a good session You know what to import
up front and you do all this a friend so
you don't get stuck with what you want to do
The meaning is up to you If you like the
names as they are then that's fine You want to
stand instead of names So when you don't have a
doesn't If this isn't the right part just this will
work not see as we It's usually smart enough to
convert Excel forms into C S V You know as
if you have this is excellence and things like that
It's usually smart enough but if it isn't then just
going and saving excellence Fiza CIA's refiling operate that way
in case it doesn't do it on its own but
more often the war to seize every new when you
win When Jupiter sees it it is seeing any excellence
File AUSA CSU find Oh going make the change yourself
all you can have other excellence other restatements in it

English: 
front but a good session You know what to import
up front and you do all this a friend so
you don't get stuck with what you want to do
The meaning is up to you If you like the
names as they are then that's fine You want to
stand instead of names So when you don't have a
doesn't If this isn't the right part just this will
work not see as we It's usually smart enough to
convert Excel forms into C S V You know as
if you have this is excellence and things like that
It's usually smart enough but if it isn't then just
going and saving excellence Fiza CIA's refiling operate that way
in case it doesn't do it on its own but
more often the war to seize every new when you
win When Jupiter sees it it is seeing any excellence
File AUSA CSU find Oh going make the change yourself
all you can have other excellence other restatements in it

English: 
as well You can change functions inside it and you
can figure out how much to head What this tells
us is the head and the tail of the data
This is simply to give you a visual ization of
what the details This gives a sense of what variables
are available to it what kinds of variables they are
Well we'll see a little bit of a summary after
this etcetera So for example some of these are numbers
income What is income income is annual household income That's
a number Some for example it's a gender male Female
is a categorical variable This is not incurred as a
number It's entered as a text field If you are
in except for example right at the top If you
go in and you see that really tell you how
many distinct entries there are how many district settings that
are so usually what happens right in the beginning and
a date A frame like this if it is created

English: 
as well You can change functions inside it and you
can figure out how much to head What this tells
us is the head and the tail of the data
This is simply to give you a visual ization of
what the details This gives a sense of what variables
are available to it what kinds of variables they are
Well we'll see a little bit of a summary after
this etcetera So for example some of these are numbers
income What is income income is annual household income That's
a number Some for example it's a gender male Female
is a categorical variable This is not incurred as a
number It's entered as a text field If you are
in except for example right at the top If you
go in and you see that really tell you how
many distinct entries there are how many district settings that
are so usually what happens right in the beginning and
a date A frame like this if it is created

English: 
is a data framing for data Frame is created Wind
gets created The software knows as to whether it is
talking about a number or whether it is talking about
categories there certain challenges to that You can see one
particular challenge to this What does this 1 80 mean
counts Why do you think there are so many dismal
places that comes here 14 years of experience 16 years
of experience twice it going zero Yes Indust This because
it sees other numbers with those adjustment places are needed
So what it does is what any software typically does

English: 
is a data framing for data Frame is created Wind
gets created The software knows as to whether it is
talking about a number or whether it is talking about
categories there certain challenges to that You can see one
particular challenge to this What does this 1 80 mean
counts Why do you think there are so many dismal
places that comes here 14 years of experience 16 years
of experience twice it going zero Yes Indust This because
it sees other numbers with those adjustment places are needed
So what it does is what any software typically does

English: 
is when it sees data It's sort of says that
at what granularity do I need to store The data
sometimes is given by a computer You're 60 for better
or 32 bitten things like that But what it does
is it means that the data is stored in the
date of fame to certain digits a usually euro See
that your seed in this way for sometimes for example
when you see include equal to or any and you
ask for a full description The data comes out in
the cycling irritatingly because of something here because will say
the income field or any of that no when it
recommends when it looks at the restrictions of this what
is the description that it is reporting and how does
it choose to report out the description with this particular
situation Swiss taken a bit of a closer look at
this one thing Here look at the weights Junctures of

English: 
is when it sees data It's sort of says that
at what granularity do I need to store The data
sometimes is given by a computer You're 60 for better
or 32 bitten things like that But what it does
is it means that the data is stored in the
date of fame to certain digits a usually euro See
that your seed in this way for sometimes for example
when you see include equal to or any and you
ask for a full description The data comes out in
the cycling irritatingly because of something here because will say
the income field or any of that no when it
recommends when it looks at the restrictions of this what
is the description that it is reporting and how does
it choose to report out the description with this particular
situation Swiss taken a bit of a closer look at
this one thing Here look at the weights Junctures of

English: 
count unique top frequency and under certain things here means
standard deviation minimum 25% 50% 75% And Max When it
sees a variable like gender it reports out lots and
lots of any ums One is actively right of the
back It can't do that which means this order number
This not a number In other words if you ask
me to find the mean of something and you're giving
me male and female as inputs I don't know what
to do which is an entirely reasonable stand to take
for any reasonable algorithm It requires another kind of destruction
for it to work but the problem will destroyed this
course in taxes that is asking for the same description
for all of them Whether it's a significant digits weather
is um columns at city she's shows in this destruction
It says that that's all that I'm going to give

English: 
count unique top frequency and under certain things here means
standard deviation minimum 25% 50% 75% And Max When it
sees a variable like gender it reports out lots and
lots of any ums One is actively right of the
back It can't do that which means this order number
This not a number In other words if you ask
me to find the mean of something and you're giving
me male and female as inputs I don't know what
to do which is an entirely reasonable stand to take
for any reasonable algorithm It requires another kind of destruction
for it to work but the problem will destroyed this
course in taxes that is asking for the same description
for all of them Whether it's a significant digits weather
is um columns at city she's shows in this destruction
It says that that's all that I'm going to give

English: 
you but where it makes sense less There for example
I look at H for each have got 180 observations
and it is calculating certain restrictions for it Correct So
one of the destructions in is calculating Let's look at
these is calculating restriction like same minimum minimum is what
18 maximum is 50 These are easy to understand Mr
Got something a little interesting Suppose I want to report
one number one representative each for this data set This
is like asking the question How do I get a
representative black sugar number for you I can give you
a minimum and a maximum but to do the minimum
maximum money to draw blood many many times from you

English: 
you but where it makes sense less There for example
I look at H for each have got 180 observations
and it is calculating certain restrictions for it Correct So
one of the destructions in is calculating Let's look at
these is calculating restriction like same minimum minimum is what
18 maximum is 50 These are easy to understand Mr
Got something a little interesting Suppose I want to report
one number one representative each for this data set This
is like asking the question How do I get a
representative black sugar number for you I can give you
a minimum and a maximum but to do the minimum
maximum money to draw blood many many times from you

English: 
But let's suppose I wanted this is why I want
one representative age for you Somebody asks you what is
your blood sugar You want to give them one number
Similarly somebody's looking at this data and asked the question
Give me a representative age How old is your typical
user or what age do you want to build it
for Or you're even asking You're even asking Listen product
question You're a product designer and a product Designers building
a treadmill Now how you design a product Those a
few engineers based on the very good What Wait Who's
way How was the user What is the weight of
user He's got a good quite as as a design
engineer I need to know what we It will be

English: 
But let's suppose I wanted this is why I want
one representative age for you Somebody asks you what is
your blood sugar You want to give them one number
Similarly somebody's looking at this data and asked the question
Give me a representative age How old is your typical
user or what age do you want to build it
for Or you're even asking You're even asking Listen product
question You're a product designer and a product Designers building
a treadmill Now how you design a product Those a
few engineers based on the very good What Wait Who's
way How was the user What is the weight of
user He's got a good quite as as a design
engineer I need to know what we It will be

English: 
on that treatment question mass The So there's the question
of saying that if I want to measure a variable
by one number house would I even framed that question
What makes sense What is the one average No match
in this possibilities you might argue the max is the
is the right number because I want to be able
to say if I can support him a key support
anyone But there's also a downside to that Have now
engineered that product You could argue that have shall I
shall I say over engineered that product electricity okay on
it So let's suppose that you are You are doing
this for a mattress You all sleep on Mattresses were
all relatively wealthy based on the fact that we're here's
we probably sleep on a mattress when everyone's fortunately after
sleep on a mattress But let's suppose you do sleep
on a mattress How much which should that mattress be

English: 
on that treatment question mass The So there's the question
of saying that if I want to measure a variable
by one number house would I even framed that question
What makes sense What is the one average No match
in this possibilities you might argue the max is the
is the right number because I want to be able
to say if I can support him a key support
anyone But there's also a downside to that Have now
engineered that product You could argue that have shall I
shall I say over engineered that product electricity okay on
it So let's suppose that you are You are doing
this for a mattress You all sleep on Mattresses were
all relatively wealthy based on the fact that we're here's
we probably sleep on a mattress when everyone's fortunately after
sleep on a mattress But let's suppose you do sleep
on a mattress How much which should that mattress be

English: 
designed to bet if you over engineering what will happen
is the number one for a reasonable wait Let's say
wait a lot below that That mattress is not going
to sink Cliff See that you desire for 100 kilos
Now if you're 50 kilos of 60 kilos that matches
is not going to sing for you it is it
gonna feel comfortable for someone who is 100 kilos And
for someone who's 50 kilos which has gotta bounce on
it you're gonna feel it's soft silky nous of whatever
it is you want to feel from the mattress It
won't work So what to do That is the destruction
with a heart problem who do engineer for And so
therefore people have different ranges of what I mean to
represent it So here's one version of it This is
what is called a five point summary I report out
the minimum the 25% points the 50% point the 75%

English: 
designed to bet if you over engineering what will happen
is the number one for a reasonable wait Let's say
wait a lot below that That mattress is not going
to sink Cliff See that you desire for 100 kilos
Now if you're 50 kilos of 60 kilos that matches
is not going to sing for you it is it
gonna feel comfortable for someone who is 100 kilos And
for someone who's 50 kilos which has gotta bounce on
it you're gonna feel it's soft silky nous of whatever
it is you want to feel from the mattress It
won't work So what to do That is the destruction
with a heart problem who do engineer for And so
therefore people have different ranges of what I mean to
represent it So here's one version of it This is
what is called a five point summary I report out
the minimum the 25% points the 50% point the 75%

English: 
point and maximum variable by variable I report five numbers
I report the lowest What is 25% means 25% of
my detests it or the people are younger than 24
The youngest is 18 25% or 1/4 of them are
between 18 and 24 1/4 between 24 26 1/4 between
26 cents 33 a quarter are between 33 50 This
is what is known as a distribution This is what
is known as the distribution of status stations Love distributions
They capture the variability in the data and they would
do all kinds of things with it so I would
have brought typical shape of a distribution Will will make
more sense if it later on This is theoretical distribution

English: 
point and maximum variable by variable I report five numbers
I report the lowest What is 25% means 25% of
my detests it or the people are younger than 24
The youngest is 18 25% or 1/4 of them are
between 18 and 24 1/4 between 24 26 1/4 between
26 cents 33 a quarter are between 33 50 This
is what is known as a distribution This is what
is known as the distribution of status stations Love distributions
They capture the variability in the data and they would
do all kinds of things with it so I would
have brought typical shape of a distribution Will will make
more sense if it later on This is theoretical distribution

English: 
and distribution For example let's say has a minimum as
a maximum has say 25% point as 50% point which
has 75% In terms of probabilities This 25% here 25%
here 25% here If you want to think in terms
of pure distribution is now a probability is just a
proportion if you want to think in terms of probabilities
What this means is that out of 180 people out
of 180 people if I draw one person at random
if I draw 1% random There's a 25% chance that
that person's weight is going to be below well 24
Nothing in the probabilities will do that tomorrow But this
is the destruction So what his destruction does is it

English: 
and distribution For example let's say has a minimum as
a maximum has say 25% point as 50% point which
has 75% In terms of probabilities This 25% here 25%
here 25% here If you want to think in terms
of pure distribution is now a probability is just a
proportion if you want to think in terms of probabilities
What this means is that out of 180 people out
of 180 people if I draw one person at random
if I draw 1% random There's a 25% chance that
that person's weight is going to be below well 24
Nothing in the probabilities will do that tomorrow But this
is the destruction So what his destruction does is it

English: 
gives you an idea as to what value to use
in which situation So for example you could say that
I am going to use 2026 as my representative each
If I do that What is the logic Amusing This
this 25% this 50% point so to speak This is
called the median This is called a medium medium means
the each of the average person first sought take the
middle person and ask How old are you The each
of the average person I could also ask for the

English: 
gives you an idea as to what value to use
in which situation So for example you could say that
I am going to use 2026 as my representative each
If I do that What is the logic Amusing This
this 25% this 50% point so to speak This is
called the median This is called a medium medium means
the each of the average person first sought take the
middle person and ask How old are you The each
of the average person I could also ask for the

English: 
average age of the person which is what Which is
the mean which is one over M x one plus
X N Now this is algebra What you have to
do is you have to put any cool to 1
80 This is the first stage second age the third
age up to 1 80 on by 1 80 age
one plus age on 80 This is called the mean
This value is what 28.79 the average It is about
28 years or 28 a half years 28.8 years But

English: 
average age of the person which is what Which is
the mean which is one over M x one plus
X N Now this is algebra What you have to
do is you have to put any cool to 1
80 This is the first stage second age the third
age up to 1 80 on by 1 80 age
one plus age on 80 This is called the mean
This value is what 28.79 the average It is about
28 years or 28 a half years 28.8 years But

English: 
the Asian the average person is 26 Yes the difference
between the two trying to So I described the medium
as the age of the average person and he described
the mean as the average age of a person though
he's looking at me like saying You have to be
kidding me That's confusing I admit to it The easy
way to understand it could be this What is the
mean at the mall Up divide by how many there
are What is the medium sought them from the smallest
to the largest pick off the middle If they're an
even number what do you do You take the average
of the two middle ones if that the same will
be the same number If they're not it'll be a
number between them So sometimes the median may show up
with a 0.5 or something like that For that reason

English: 
the Asian the average person is 26 Yes the difference
between the two trying to So I described the medium
as the age of the average person and he described
the mean as the average age of a person though
he's looking at me like saying You have to be
kidding me That's confusing I admit to it The easy
way to understand it could be this What is the
mean at the mall Up divide by how many there
are What is the medium sought them from the smallest
to the largest pick off the middle If they're an
even number what do you do You take the average
of the two middle ones if that the same will
be the same number If they're not it'll be a
number between them So sometimes the median may show up
with a 0.5 or something like that For that reason

English: 
if there is an interior accounts but there are even
number of counts now Which do you think is better
You're giving the depends You figure out that they like
that answer We won't make sense We both mixes It
depends on what what context should going to use it
for in certain cases Yes is the spot with If
you're talking terms of PanAm eaters so used an interesting
term he saying What is the paramilitary I am after
Parameter is an interesting word Parameter refers to something Would
engineering a population is an unknown thing I'm trying to
get after for his number Block sugar is a parameter

English: 
if there is an interior accounts but there are even
number of counts now Which do you think is better
You're giving the depends You figure out that they like
that answer We won't make sense We both mixes It
depends on what what context should going to use it
for in certain cases Yes is the spot with If
you're talking terms of PanAm eaters so used an interesting
term he saying What is the paramilitary I am after
Parameter is an interesting word Parameter refers to something Would
engineering a population is an unknown thing I'm trying to
get after for his number Block sugar is a parameter

English: 
it exists but I don't know it and trying to
get my handle on it correct Three Find singing in
terms of parameters These are different parameters so less Let's
look at a distribution here and not chivalrous and pick
up things also So the median is is the median
is a parameter such back on this side I have
50% and on this side I have 50% This is
the media The mean is what is called the first
movement What that means is think of this as a
fleet of metal and I want to balance it or
something Where do I put my finger so that it
balances It is the c g of the data the

English: 
it exists but I don't know it and trying to
get my handle on it correct Three Find singing in
terms of parameters These are different parameters so less Let's
look at a distribution here and not chivalrous and pick
up things also So the median is is the median
is a parameter such back on this side I have
50% and on this side I have 50% This is
the media The mean is what is called the first
movement What that means is think of this as a
fleet of metal and I want to balance it or
something Where do I put my finger so that it
balances It is the c g of the data the

English: 
centre of gravity of the data You can understand the
difference between these two now if for example I push
the data out to the right what happens to the
medium Nothing happens to the medium because the 50 55th
remains the same But if I pushed the net out
to the right the mean will change It will move
to the right Your liver the liver principal right If
there's more weight on one side I have to move
my finger in order Counterbalance that weight So these are
two different parameters If the distribution for example is what
is called symmetric symmetric means it looks the same on
the left as on the right Then these two will
equal because the idea of going half to the left
and half to the right will be the same as
the idea of where do I balance Because the left
is equal to direct So when the mean is not
equal to the median that's a single that the left
is not equal to the right and when the team
is were a little more than the medium It says
that there is some data that has been pushed to

English: 
centre of gravity of the data You can understand the
difference between these two now if for example I push
the data out to the right what happens to the
medium Nothing happens to the medium because the 50 55th
remains the same But if I pushed the net out
to the right the mean will change It will move
to the right Your liver the liver principal right If
there's more weight on one side I have to move
my finger in order Counterbalance that weight So these are
two different parameters If the distribution for example is what
is called symmetric symmetric means it looks the same on
the left as on the right Then these two will
equal because the idea of going half to the left
and half to the right will be the same as
the idea of where do I balance Because the left
is equal to direct So when the mean is not
equal to the median that's a single that the left
is not equal to the right and when the team
is were a little more than the medium It says
that there is some data that has been pushed to

English: 
the right and that should be something that you can
guest here because the mean in the medium to some
extent at what 20 for 26 the lowest is 18
That's about 66 years eight years less than that But
what is the maximum 50 That's 25 years beyond The
data is pushed to the right amendment Is racing pushed
to the right direct technical term Is rights cute There
there are shall I say people are more not average
on this on the older side than on the youngest
there was a hand up somewhere with So therefore one
reason that the median often doesn't move is because it
is not that sensitive to out liars select Suppose for
example We look at us asked and we ask ourselves

English: 
the right and that should be something that you can
guest here because the mean in the medium to some
extent at what 20 for 26 the lowest is 18
That's about 66 years eight years less than that But
what is the maximum 50 That's 25 years beyond The
data is pushed to the right amendment Is racing pushed
to the right direct technical term Is rights cute There
there are shall I say people are more not average
on this on the older side than on the youngest
there was a hand up somewhere with So therefore one
reason that the median often doesn't move is because it
is not that sensitive to out liars select Suppose for
example We look at us asked and we ask ourselves

English: 
what is our mean income or a median income And
we have that each of us make a certain amount
of money We can sort that up in separates that
Mr Mukesh Ambani walks into the room No one has
been happen to these numbers means to cooperate He alone
Family makes a very large multiple of all our incomes
put together Possibly I don't know how much you make
I know how much but what's going to happen to
the medium is going to stay almost the same The
typical person may move by at most half Who's warning
Typical person Going to be difficult person is going to
be an actual individual in the room or maybe an
average of two individuals in the road and that person
on gonna change That's one conclusion we condone drawn this
any other floods below which will also show the same
thing You not being will draw the conclusion Good logical
reason Haven't shown you the full data will see the
history and will do that So hold on to that

English: 
what is our mean income or a median income And
we have that each of us make a certain amount
of money We can sort that up in separates that
Mr Mukesh Ambani walks into the room No one has
been happen to these numbers means to cooperate He alone
Family makes a very large multiple of all our incomes
put together Possibly I don't know how much you make
I know how much but what's going to happen to
the medium is going to stay almost the same The
typical person may move by at most half Who's warning
Typical person Going to be difficult person is going to
be an actual individual in the room or maybe an
average of two individuals in the road and that person
on gonna change That's one conclusion we condone drawn this
any other floods below which will also show the same
thing You not being will draw the conclusion Good logical
reason Haven't shown you the full data will see the
history and will do that So hold on to that

English: 
question The conclusion was drawn is that they're two pieces
There are two things to do See here One is
if I simply look at this without seeing any more
graphics Where is the middle of the data from medium
perspective At 26 now from 26 look at the difference
between 26 the smallest 18 between 18 and 26 That's
eight years This eight years contains 90 observations because as
180 total what is on the opposite side of this
26 2 50 That's how many years this 24 years
now contains How many observations Same 90 So the 90
observations that are between 18 and 26 and they're 90
observations between 26 50 So if I want to draw

English: 
question The conclusion was drawn is that they're two pieces
There are two things to do See here One is
if I simply look at this without seeing any more
graphics Where is the middle of the data from medium
perspective At 26 now from 26 look at the difference
between 26 the smallest 18 between 18 and 26 That's
eight years This eight years contains 90 observations because as
180 total what is on the opposite side of this
26 2 50 That's how many years this 24 years
now contains How many observations Same 90 So the 90
observations that are between 18 and 26 and they're 90
observations between 26 50 So if I want to draw

English: 
pictures what would what would that picture look like Yes
exactly as you're drawing it This usually by definition is
called This is a problem that baby has because this
minutes left studio rights cute as a world like it's
called rights Cute more dated to the right More data
is a dangerous world Know that it's the same number
of observations as say the data is pushed to the
right movie oration right side It's obviously for way of
putting it Yes so Souness is often measured in various
things One measure of Souness is typically for example mean
minus medium mean minus medium If it is positive it
usually correspondent rise Que nous We minus median negative really

English: 
pictures what would what would that picture look like Yes
exactly as you're drawing it This usually by definition is
called This is a problem that baby has because this
minutes left studio rights cute as a world like it's
called rights Cute more dated to the right More data
is a dangerous world Know that it's the same number
of observations as say the data is pushed to the
right movie oration right side It's obviously for way of
putting it Yes so Souness is often measured in various
things One measure of Souness is typically for example mean
minus medium mean minus medium If it is positive it
usually correspondent rise Que nous We minus median negative really

English: 
corresponds to lefts Curious This is a statistical rule but
sometimes it is used as a definition for stillness Many
definitions for SK Eunice Stewed data sometimes causes difficulties and
analysis Because what happens is the idea of variation changes
being the radiation One side me something real different and
variation from the other side By the way what's happening
to you with respect to things like books Are you
getting books not getting books I have no idea what
the books are You got one book Which is what
Which is the statistics book Okay I'll take a look
at that book later so okay Comment One train eyes
book coming to Not a pie phone book does it
make it a bad book Sophie Looking for help on
how to cool things up This is not the right

English: 
corresponds to lefts Curious This is a statistical rule but
sometimes it is used as a definition for stillness Many
definitions for SK Eunice Stewed data sometimes causes difficulties and
analysis Because what happens is the idea of variation changes
being the radiation One side me something real different and
variation from the other side By the way what's happening
to you with respect to things like books Are you
getting books not getting books I have no idea what
the books are You got one book Which is what
Which is the statistics book Okay I'll take a look
at that book later so okay Comment One train eyes
book coming to Not a pie phone book does it
make it a bad book Sophie Looking for help on
how to cool things up This is not the right

English: 
book Get a book like things tax or something like
that If you want to understand the statistics side to
it is an excellent book Everything that I'm talking about
is going to be here Um I talk about which
chapters and things like that at some point and I
might talk about how to use this in the book
So for example at the back of this book their
lot from their tables tables at the back of this
book which will learn how to use And then I
tried to convince you that you shouldn't use them But
remember many of these methods are done in ways in
which either you don't have access to computers or if
you do have access to computers you don't have them
shall be said run time in others When I want
to run the application on taken build a model using
a computer but I can run it within one The
runtime environment for statistics is often done when there are

English: 
book Get a book like things tax or something like
that If you want to understand the statistics side to
it is an excellent book Everything that I'm talking about
is going to be here Um I talk about which
chapters and things like that at some point and I
might talk about how to use this in the book
So for example at the back of this book their
lot from their tables tables at the back of this
book which will learn how to use And then I
tried to convince you that you shouldn't use them But
remember many of these methods are done in ways in
which either you don't have access to computers or if
you do have access to computers you don't have them
shall be said run time in others When I want
to run the application on taken build a model using
a computer but I can run it within one The
runtime environment for statistics is often done when there are

English: 
no computers around The building environment can include computers for
the runtime environment Cannot lot of 36 done under that
kind of situation even Okay so definitions of SK Eunice
and do it do it in the way usually use
a book which means you go to the index received
The word is there When you go back and figure
it out it will give you some ideas as to
how that works It's a nice book is on the
best books that you have in business statistics but is
not necessarily a book that will tell you how to
court things up That is not a deficiency of the
book Not every book can do things of that sort
and other books around that will tell you how to
court things up but will not explain what you are
doing It's important to know what you are doing It's
also important to know why you doing it But books
can't be written with often everything In my guess the
thinking is here I think this is good for thinking

English: 
no computers around The building environment can include computers for
the runtime environment Cannot lot of 36 done under that
kind of situation even Okay so definitions of SK Eunice
and do it do it in the way usually use
a book which means you go to the index received
The word is there When you go back and figure
it out it will give you some ideas as to
how that works It's a nice book is on the
best books that you have in business statistics but is
not necessarily a book that will tell you how to
court things up That is not a deficiency of the
book Not every book can do things of that sort
and other books around that will tell you how to
court things up but will not explain what you are
doing It's important to know what you are doing It's
also important to know why you doing it But books
can't be written with often everything In my guess the
thinking is here I think this is good for thinking

English: 
I would absolute recommend this book on the thinking site
because yes and that answer I think is very very
good here Well you won't get is it'll say Do
this and it won't give you the vitals in tax
to do it That that will not be here difficult
for that problem through some other means I used have
a colleague a name corporate life who had a very
big sticker on his board It said Google searches not
research Nobody agrees with him anymore So I suppose that
when in doubt you do our normal homos appeals do
today which is you Google for an answer Truth So
one possibility is that you you understand something from books
such as this And if you want to understand the
sin taxes Google for the term say Faison that term
whatever we will probably give you the court Things are

English: 
I would absolute recommend this book on the thinking site
because yes and that answer I think is very very
good here Well you won't get is it'll say Do
this and it won't give you the vitals in tax
to do it That that will not be here difficult
for that problem through some other means I used have
a colleague a name corporate life who had a very
big sticker on his board It said Google searches not
research Nobody agrees with him anymore So I suppose that
when in doubt you do our normal homos appeals do
today which is you Google for an answer Truth So
one possibility is that you you understand something from books
such as this And if you want to understand the
sin taxes Google for the term say Faison that term
whatever we will probably give you the court Things are

English: 
very well organised these days There's also the question and
I should give you a very slight warning here but
not to discourage you from anything but in the next
nine months So they're about the duration of your programme
There's going to be a fair amount of material that
we with thrown at You correct The look and feel
will sometimes be like what we would what we would
often college Um it is drinking from a fire hose
You can if you want to where you get very
well So therefore pick your battles If you want to
understand the statistics side of it please please going to
the death of it But if you try to get
into equal deaths on every topic that you want to
learn that will take up a lot of your professional
Now the reason we do the statistics for 1st 1
it's a little easier from a computational perspective all the
harder from a conceptual perspectives We begin at this way

English: 
very well organised these days There's also the question and
I should give you a very slight warning here but
not to discourage you from anything but in the next
nine months So they're about the duration of your programme
There's going to be a fair amount of material that
we with thrown at You correct The look and feel
will sometimes be like what we would what we would
often college Um it is drinking from a fire hose
You can if you want to where you get very
well So therefore pick your battles If you want to
understand the statistics side of it please please going to
the death of it But if you try to get
into equal deaths on every topic that you want to
learn that will take up a lot of your professional
Now the reason we do the statistics for 1st 1
it's a little easier from a computational perspective all the
harder from a conceptual perspectives We begin at this way

English: 
but hold on to that idea And then as you
keep going see if this is something that you wanted
done more on And if you can you welcome to
try to us So let us know all at anyone
No weather's just come in let her know and will
get the references But if 12 1st day for the
first residencies with can see what happens there Yes Mr
It's a well written book it's in If it's it's
It's Instructor is one of our colleagues here You know
it's one who we can also help explain things So
So this is the summary wanted The summary tell you
this summary gave you was called the five numbers five
numbers that help you described the data minimum 25 50
75 Max will see another graphical destruction of this It
also described for you eh meals There is also another

English: 
but hold on to that idea And then as you
keep going see if this is something that you wanted
done more on And if you can you welcome to
try to us So let us know all at anyone
No weather's just come in let her know and will
get the references But if 12 1st day for the
first residencies with can see what happens there Yes Mr
It's a well written book it's in If it's it's
It's Instructor is one of our colleagues here You know
it's one who we can also help explain things So
So this is the summary wanted The summary tell you
this summary gave you was called the five numbers five
numbers that help you described the data minimum 25 50
75 Max will see another graphical destruction of this It
also described for you eh meals There is also another

English: 
number here and this is this number is indicated by
the letters STD yesterday were first to standard revolution yesterday
refers to standard deviation and what is the formula for
a standard deviation Yesterday is equal to the square root
of but two steps Step one Calculate the average Step
two take the distance from the average for every observation

English: 
number here and this is this number is indicated by
the letters STD yesterday were first to standard revolution yesterday
refers to standard deviation and what is the formula for
a standard deviation Yesterday is equal to the square root
of but two steps Step one Calculate the average Step
two take the distance from the average for every observation

English: 
Asked the question How far is every data point from
the middle If it is very far from the middle
say that the deviation is more if it is not
far from the middle say the deviation is less deviation
being used as a synonym for variation Various invasion can
be more or variation can be less more than the
average less than the average if someone is much older
than average This variation if somewhat is much younger than
average There is radiation so therefore both of these are
variation So what I do is when I take the
difference from the average I square it so more than
expert become as positive less than expert also becomes positive
Then I added of May average it There's a small
fish use to why it is and minus one And
that is because And I'm divi I'm staking a difference
from an observation that is already taken from the data

English: 
Asked the question How far is every data point from
the middle If it is very far from the middle
say that the deviation is more if it is not
far from the middle say the deviation is less deviation
being used as a synonym for variation Various invasion can
be more or variation can be less more than the
average less than the average if someone is much older
than average This variation if somewhat is much younger than
average There is radiation so therefore both of these are
variation So what I do is when I take the
difference from the average I square it so more than
expert become as positive less than expert also becomes positive
Then I added of May average it There's a small
fish use to why it is and minus one And
that is because And I'm divi I'm staking a difference
from an observation that is already taken from the data

English: 
now ever square when I have squared Buy additional unit
was in each When have squared This has become each
square So I take this query to get by measure
back into the scale of years so the standard deviation
is a measure of house spread A typical observation is
from the average It is a standard deviation where a
deviation is how far from the average one And because
of the squaring you need to work with us square
root in in sort of modern machine learning people Sometimes
you something called mean at an absolute deviation Amy Mad
very optimistically called sought man his he says You don't
take a square you take an absolute value and then
you do what have a square root outside it and
that is sometimes used as a measure of how much

English: 
now ever square when I have squared Buy additional unit
was in each When have squared This has become each
square So I take this query to get by measure
back into the scale of years so the standard deviation
is a measure of house spread A typical observation is
from the average It is a standard deviation where a
deviation is how far from the average one And because
of the squaring you need to work with us square
root in in sort of modern machine learning people Sometimes
you something called mean at an absolute deviation Amy Mad
very optimistically called sought man his he says You don't
take a square you take an absolute value and then
you do what have a square root outside it and
that is sometimes used as a measure of how much

English: 
variability there is So why displacement We square it because
we want to look at both positive and negative deviations
If I didn't score edit what would happen as it
would cancel out What was the word that one of
you used neutralise right I'll affect er you're positive deviations
would neutralise your negative deviations Yes this members is going
to be positive if say expands So let's look at
the first number here So if I look at the
head command here when I did the head command here
What did they What did head command Give me the
1st 2 observations Now this is an 18 year old
This probably sorted by decision 18 year old Correct I
I am trying to explain the variability of this data
with respect to this 18 year old What is what

English: 
variability there is So why displacement We square it because
we want to look at both positive and negative deviations
If I didn't score edit what would happen as it
would cancel out What was the word that one of
you used neutralise right I'll affect er you're positive deviations
would neutralise your negative deviations Yes this members is going
to be positive if say expands So let's look at
the first number here So if I look at the
head command here when I did the head command here
What did they What did head command Give me the
1st 2 observations Now this is an 18 year old
This probably sorted by decision 18 year old Correct I
I am trying to explain the variability of this data
with respect to this 18 year old What is what

English: 
is what wiser variation This 18 number is not the
same as 28 18 is less than 28 So what
I want to do is I want to go 18
minus 28.7 What I'm interested in is this this 10
year difference between the two now the first in the
oldest person in this data said is how old 50
When I get to that row this 50 will also
differ from this 28 22 years some interested in that
10 And I'm interested in the 22 I am not
interested in the minus general minus 22 I can do
that I can do that I can do is I
can look at I can represent 18 minus 28 as
10 mhm represent 28 minus 50 is 22 And that
is this As I said one over in minus one
Absolute X one minor sex bar plus plus absolute extend

English: 
is what wiser variation This 18 number is not the
same as 28 18 is less than 28 So what
I want to do is I want to go 18
minus 28.7 What I'm interested in is this this 10
year difference between the two now the first in the
oldest person in this data said is how old 50
When I get to that row this 50 will also
differ from this 28 22 years some interested in that
10 And I'm interested in the 22 I am not
interested in the minus general minus 22 I can do
that I can do that I can do is I
can look at I can represent 18 minus 28 as
10 mhm represent 28 minus 50 is 22 And that
is this As I said one over in minus one
Absolute X one minor sex bar plus plus absolute extend

English: 
minor sex for that Is this within minus one And
this is done as um say this is what is
called mean absolute deviation and miss many machine learning algorithms
Use this You are correct In today's world this is
simpler No wins Standard deviations came up first This was
actually harder But people would argue about this I think
Well 150 maybe more about say forget my history that
much There are two famous mathematicians one named KAOS and
one name plus who argued as to whether to use
this or whether to use this lap lasted You should
use this and God said you should use no reason
KAOS one was simple because KAOS how did easy to

English: 
minor sex for that Is this within minus one And
this is done as um say this is what is
called mean absolute deviation and miss many machine learning algorithms
Use this You are correct In today's world this is
simpler No wins Standard deviations came up first This was
actually harder But people would argue about this I think
Well 150 maybe more about say forget my history that
much There are two famous mathematicians one named KAOS and
one name plus who argued as to whether to use
this or whether to use this lap lasted You should
use this and God said you should use no reason
KAOS one was simple because KAOS how did easy to

English: 
do calculations Why's this easy to calculate with because new
tenant come up with Captain Ursus in a century or
so before that And so for example let's suppose that
she want to minimise variability which is which is some
something that we offer need to do in analytics which
means you need to minimise things with standard deviation which
means you need to differentiate This functions the square functions
different ship You can minimise it using calculus This is
not so Therefore what happened was gone School you calculations
Plus could not plus lost And the house one The
definition of the standard deviation haven't much use 25% of
75 Okay Okay Why do we not do that So
today this entire argument makes no sense because today how
do we minimise anything Our computer programme You don't use

English: 
do calculations Why's this easy to calculate with because new
tenant come up with Captain Ursus in a century or
so before that And so for example let's suppose that
she want to minimise variability which is which is some
something that we offer need to do in analytics which
means you need to minimise things with standard deviation which
means you need to differentiate This functions the square functions
different ship You can minimise it using calculus This is
not so Therefore what happened was gone School you calculations
Plus could not plus lost And the house one The
definition of the standard deviation haven't much use 25% of
75 Okay Okay Why do we not do that So
today this entire argument makes no sense because today how
do we minimise anything Our computer programme You don't use

English: 
any calculus you asked You run if men or something
of that sort You basically run a programme to do
it So therefore this argument that you can both to
calculations equally well with this as in as in that
So today what is happening is at LA classes Way
of thinking is being used more and more This one
is a lot less sensitive Fill out liars this one
What it does is if it is far away the
22 squares to for 180 for or something like that
which is a large number So the standard deviation is
is often driven by very large deviousness Larger the deviance
the more it blows up And so therefore this is
often very criticised If you read for exam to the
finance literature this guy called Talib the same calibre he
rices book called The Black Swan and full by randomness
where he left him had criticised the standard deviation as
a measure of anything So today this argument doesn't make

English: 
any calculus you asked You run if men or something
of that sort You basically run a programme to do
it So therefore this argument that you can both to
calculations equally well with this as in as in that
So today what is happening is at LA classes Way
of thinking is being used more and more This one
is a lot less sensitive Fill out liars this one
What it does is if it is far away the
22 squares to for 180 for or something like that
which is a large number So the standard deviation is
is often driven by very large deviousness Larger the deviance
the more it blows up And so therefore this is
often very criticised If you read for exam to the
finance literature this guy called Talib the same calibre he
rices book called The Black Swan and full by randomness
where he left him had criticised the standard deviation as
a measure of anything So today this argument doesn't make

English: 
a great deal of sense and when in fact is
something like this makes sense it's often used to so
a lot of this has done Historically it looks this
way because of a certain historical definition and then it's
not is hard to change So today in the centuries
after the House SAT people like me are trying to
explain it and having trouble doing it because there's a
logic to it and even and that logic doesn't hold
any more How far how far on the average is
an observation from the average confusing statement again But how
far on the average is an observation from the average
if that also zero that means everything is at the

English: 
a great deal of sense and when in fact is
something like this makes sense it's often used to so
a lot of this has done Historically it looks this
way because of a certain historical definition and then it's
not is hard to change So today in the centuries
after the House SAT people like me are trying to
explain it and having trouble doing it because there's a
logic to it and even and that logic doesn't hold
any more How far how far on the average is
an observation from the average confusing statement again But how
far on the average is an observation from the average
if that also zero that means everything is at the

English: 
average But you asking the question how far from the
average is an observation on the average If I take
your blood pressure how far from your average blood pressure
Is this reading If this is exactly equal then I
don't need to worry about variability Every time A major
black official Citizens what is your average bank minutes Don't
tell me that but but you know what I mean
You have an average bank balance your bank account manager
or your bank actually tracks this what your average bank
balances but you are Actually your balance is almost never
or very very really equal to your actual average bank
balance It's more and it's less how much more How
much ness is something that the bank is also interested
in Know to try and figure out how much of
your money so to speak to get out there Who's
the bank is going to make money by lending it
out but when it lends it out it can give

English: 
average But you asking the question how far from the
average is an observation on the average If I take
your blood pressure how far from your average blood pressure
Is this reading If this is exactly equal then I
don't need to worry about variability Every time A major
black official Citizens what is your average bank minutes Don't
tell me that but but you know what I mean
You have an average bank balance your bank account manager
or your bank actually tracks this what your average bank
balances but you are Actually your balance is almost never
or very very really equal to your actual average bank
balance It's more and it's less how much more How
much ness is something that the bank is also interested
in Know to try and figure out how much of
your money so to speak to get out there Who's
the bank is going to make money by lending it
out but when it lends it out it can give

English: 
it to you Said makes an assessment as to how
much money I don't get the finance now but you
get the drift So therefore there it is a measure
that it is on the only measure of that So
for example he has another measure So November this 25
number and the 75 number that you're asking about Let's
see them a carefully Remember that looks like this Let's
say 33 minus Let's the 33 75% point minus 24
2 33 minus 24 Let's say this is my 24
this might 33 between this How much Neutralise 50% Why
Because this is 25% and this is 25% This now
contains 50% This is sometimes called the inter quartile range

English: 
it to you Said makes an assessment as to how
much money I don't get the finance now but you
get the drift So therefore there it is a measure
that it is on the only measure of that So
for example he has another measure So November this 25
number and the 75 number that you're asking about Let's
see them a carefully Remember that looks like this Let's
say 33 minus Let's the 33 75% point minus 24
2 33 minus 24 Let's say this is my 24
this might 33 between this How much Neutralise 50% Why
Because this is 25% and this is 25% This now
contains 50% This is sometimes called the inter quartile range

English: 
Inter quart times rage Big word Why is it called
an inter quarter range The reason is because sometimes this
is called cute three And this call Q one Q
Chief's chance for upper quarters You can understand quarter eyes
so upper quarters and this is the lower quarter and
the difference between the upper quartile in the lower quarterly
sometimes called the inter quarter Why is it called the
range Because what is the actual range of the data
The range of the data in this particular case is
50 miners 18 and 50 minus 18 which is your
max Minus your mean This is simple sometimes simply called

English: 
Inter quart times rage Big word Why is it called
an inter quarter range The reason is because sometimes this
is called cute three And this call Q one Q
Chief's chance for upper quarters You can understand quarter eyes
so upper quarters and this is the lower quarter and
the difference between the upper quartile in the lower quarterly
sometimes called the inter quarter Why is it called the
range Because what is the actual range of the data
The range of the data in this particular case is
50 miners 18 and 50 minus 18 which is your
max Minus your mean This is simple sometimes simply called

English: 
The range ranges maximum minus minimum inter 40 ranges upper
quartile minors lower quarter and these measures are used They
do see certain uses based on certain applications You can
see certain advantages to this For example let's suppose that
I can operate my five point summary with my five
point somebody I can now give you a measure of
location which is my medium and I can give you
two measures of discussion which is my inter portal range
and my range So those five numbers have now been
twisted Give me a summary number which is the medium
and arrange number Interestingly I can also draw mental conclusions
from that For example I can draw conclusions from these
five numbers in the following way 24 33 Half my

English: 
The range ranges maximum minus minimum inter 40 ranges upper
quartile minors lower quarter and these measures are used They
do see certain uses based on certain applications You can
see certain advantages to this For example let's suppose that
I can operate my five point summary with my five
point somebody I can now give you a measure of
location which is my medium and I can give you
two measures of discussion which is my inter portal range
and my range So those five numbers have now been
twisted Give me a summary number which is the medium
and arrange number Interestingly I can also draw mental conclusions
from that For example I can draw conclusions from these
five numbers in the following way 24 33 Half my

English: 
customers are between 22 24 33 So if I want
to deal with half my customers I need to be
able to deal with a range of about nine years
Within this nine years is all that I'm interested to
get District So if I'm building my if I'm building
my mike my machine I am going to make sure
Let's say that the 33 year old is okay with
this and the 24 year old is okay with this
Will the 50 year old be okay with this But
if I want to bring the 50 year old Loki
with this and of trouble with the 18 year old
second will not with even these five we see more
district of status is as we go along By the
way this is only for H I can do this
for you know use age I can do this for

English: 
customers are between 22 24 33 So if I want
to deal with half my customers I need to be
able to deal with a range of about nine years
Within this nine years is all that I'm interested to
get District So if I'm building my if I'm building
my mike my machine I am going to make sure
Let's say that the 33 year old is okay with
this and the 24 year old is okay with this
Will the 50 year old be okay with this But
if I want to bring the 50 year old Loki
with this and of trouble with the 18 year old
second will not with even these five we see more
district of status is as we go along By the
way this is only for H I can do this
for you know use age I can do this for

English: 
fitness I can do this for income into the income
is interesting Here's the median income $50,000 the mean income
about $53,000 If you see income in almost all real
cases the mean income is going to be more than
the median income The per capita income of India is
more than the income of the typical Indian What does
this command do if I say my date are not
in for what this is due his mighty it a
festival is the need a frame that had created just
review I read the pdf file this way This is
a destroyed and this year is in for destroy I
been in foreign English language are similar things Destruction information
this is interpreted in the software is two completely different
things Information is like your variable setting is securing your
field Uriel Field is setting like that is giving you

English: 
fitness I can do this for income into the income
is interesting Here's the median income $50,000 the mean income
about $53,000 If you see income in almost all real
cases the mean income is going to be more than
the median income The per capita income of India is
more than the income of the typical Indian What does
this command do if I say my date are not
in for what this is due his mighty it a
festival is the need a frame that had created just
review I read the pdf file this way This is
a destroyed and this year is in for destroy I
been in foreign English language are similar things Destruction information
this is interpreted in the software is two completely different
things Information is like your variable setting is securing your
field Uriel Field is setting like that is giving you

English: 
information on the data as data The word data means
different things to different people To Stannis station data means
what crew sensation data means and number to an IT
professional What is data mean Bye bites information You know
I have lost my data Are you particular Can't want
the day ties of lost my data So this is
that information tells you tells you about the data It's
an object is the description is the 64 bit storey
in creature who is an object with tells about numeric
categorical It tells you about the kind of data this
available nominal feels in Other was there are objects in
the field etc There is so many in teacher types
which has stood at 60 for because this computer is
probably capable at 64 there are three categorical variables This
is this is shall we say a data on shift
summary of the of What is there in that data

English: 
information on the data as data The word data means
different things to different people To Stannis station data means
what crew sensation data means and number to an IT
professional What is data mean Bye bites information You know
I have lost my data Are you particular Can't want
the day ties of lost my data So this is
that information tells you tells you about the data It's
an object is the description is the 64 bit storey
in creature who is an object with tells about numeric
categorical It tells you about the kind of data this
available nominal feels in Other was there are objects in
the field etc There is so many in teacher types
which has stood at 60 for because this computer is
probably capable at 64 there are three categorical variables This
is this is shall we say a data on shift
summary of the of What is there in that data

English: 
Not a statistical some useful in its own way particularly
for processing it and storing it for those of you
are going to go into data for of curation like
careers This kind of a database is a nightmare because
typically what happens is when you store real data Yuki
in addition to data you of his store was college
did a dictionary Sometimes that's referred to is meta data
data about the data he was simply Storing a bunch
of numbers is not enough You have to say what
the numbers are about This as a layer of complexity
to the meta data You now have to store not
only what the variable is about but what kind of
a vary abilities so many professional organisations say is that
archival data should never be a mixture of both numerical
and categorical objects and they pay a price for that
numerical things should become categorical or categorical Things become numerical
But what happens is if you are storing large volumes
of it and archiving it and make it available for
people who are not seen it before it sometimes gets

English: 
Not a statistical some useful in its own way particularly
for processing it and storing it for those of you
are going to go into data for of curation like
careers This kind of a database is a nightmare because
typically what happens is when you store real data Yuki
in addition to data you of his store was college
did a dictionary Sometimes that's referred to is meta data
data about the data he was simply Storing a bunch
of numbers is not enough You have to say what
the numbers are about This as a layer of complexity
to the meta data You now have to store not
only what the variable is about but what kind of
a vary abilities so many professional organisations say is that
archival data should never be a mixture of both numerical
and categorical objects and they pay a price for that
numerical things should become categorical or categorical Things become numerical
But what happens is if you are storing large volumes
of it and archiving it and make it available for
people who are not seen it before it sometimes gets

English: 
convenient So therefore feels like this is often useful to
see how bigger problem you have now I would applaud
a few things to plot You can flood anything Simone
I think is coming ready later But this plot this
is from medical of library and it is plotting through
a command called hissed His means hissed O gramme which
have already seen if commodity programmes and I think the
sinister So this is his programme the history Graham as
a syntax has been sizes and figure sizes So what
you can do is you can pair on with these
a see the differences in what this is to Graham
does But this is certain default that shows up and
that default is quite good And here is a history
Graham distribution of the age This is not a set

English: 
convenient So therefore feels like this is often useful to
see how bigger problem you have now I would applaud
a few things to plot You can flood anything Simone
I think is coming ready later But this plot this
is from medical of library and it is plotting through
a command called hissed His means hissed O gramme which
have already seen if commodity programmes and I think the
sinister So this is his programme the history Graham as
a syntax has been sizes and figure sizes So what
you can do is you can pair on with these
a see the differences in what this is to Graham
does But this is certain default that shows up and
that default is quite good And here is a history
Graham distribution of the age This is not a set

English: 
of numbers This is us Picture This is a picture
wonders this picture have this picture has a set of
bins It has set of accounts within each bins between
these two numbers between 10 and whatever this illicit 22
or thereabouts I have account off that says 17 should
gives account And it does this by getting a sense
of how many been xerox and plotting this ship It's
a little bit of a lark to write in his
programme programme There there's a a pipe and book out
there acting things chatter One of it in which sort
of the 1st 1/3 of the book is basically how
to write a His to Graham Court is a wonderful
book but because it freezes example it got terrible reviews
reviewers said Why do I want to learn how to
coda his programme and the book's author is and teaching

English: 
of numbers This is us Picture This is a picture
wonders this picture have this picture has a set of
bins It has set of accounts within each bins between
these two numbers between 10 and whatever this illicit 22
or thereabouts I have account off that says 17 should
gives account And it does this by getting a sense
of how many been xerox and plotting this ship It's
a little bit of a lark to write in his
programme programme There there's a a pipe and book out
there acting things chatter One of it in which sort
of the 1st 1/3 of the book is basically how
to write a His to Graham Court is a wonderful
book but because it freezes example it got terrible reviews
reviewers said Why do I want to learn how to
coda his programme and the book's author is and teaching

English: 
you how to write a coda His programme is um
you an example How to do that And I tend
to agree if you want to test yourself of your
understanding of data and your understanding of any programming language
and any visual isation language code and have fun So
it's a nice challenge from many perspectives The data challenges
the language Shall is the visual isation challenge They want
archival leader to be have only one data form only
one format Why is that so Because as it said
when you store data how do you store it listed
that you've generated analysis analysis has done correct and you've
decided not to destroy the data you going to keep
the data in your company's databases or in your own
database How will you keep it You can take it

English: 
you how to write a coda His programme is um
you an example How to do that And I tend
to agree if you want to test yourself of your
understanding of data and your understanding of any programming language
and any visual isation language code and have fun So
it's a nice challenge from many perspectives The data challenges
the language Shall is the visual isation challenge They want
archival leader to be have only one data form only
one format Why is that so Because as it said
when you store data how do you store it listed
that you've generated analysis analysis has done correct and you've
decided not to destroy the data you going to keep
the data in your company's databases or in your own
database How will you keep it You can take it

English: 
Technology lets the list list Bacon Example Let's say was
pick an example sequel Excel Whatever Let's keep it in
excel If I keep it in Excel what will I
now do So let's say I have an excess five
She lets see my cardio data solicit this data Now
in addition to the data one Do I need to
store with area Yes So one possibilities I can have
a text file like that like I had at the
top of this describing all of this which is typically
what happens in extra storage It describes this and described
There's 15 called dot Backed and another file called dot
discover something of that sort which basically describes the variables
in the ideas that they have the same name and
one extension gives you the data the extension gives you
The description of the variables are in this data Now
This is good Now what's going to happen on the
data Certain food has been run That court is going

English: 
Technology lets the list list Bacon Example Let's say was
pick an example sequel Excel Whatever Let's keep it in
excel If I keep it in Excel what will I
now do So let's say I have an excess five
She lets see my cardio data solicit this data Now
in addition to the data one Do I need to
store with area Yes So one possibilities I can have
a text file like that like I had at the
top of this describing all of this which is typically
what happens in extra storage It describes this and described
There's 15 called dot Backed and another file called dot
discover something of that sort which basically describes the variables
in the ideas that they have the same name and
one extension gives you the data the extension gives you
The description of the variables are in this data Now
This is good Now what's going to happen on the
data Certain food has been run That court is going

English: 
to assume certain things about the data What you want
the court to assume about that data Whatever you want
that court to assure about that data should be available
in the data dictionary Now if that court is stable
enough to realise that whatever feels you give me I
will run on that school But if that cause requires
you to know what kind of data is being used
Leslie District Data let's say continuous later in the future
you'll be doing since that linear regression logistic regression linear
regression will make sense If the variable is a number
legislation Grecian will make sense of the very belisa 01
If you have that problem now in the media data
you need to be able to tell not only what
business information this variable contains for also what kind of
computational object it is So the court can run So
therefore what people often says that I am going to
make it very simple And I'm going to assume that

English: 
to assume certain things about the data What you want
the court to assume about that data Whatever you want
that court to assure about that data should be available
in the data dictionary Now if that court is stable
enough to realise that whatever feels you give me I
will run on that school But if that cause requires
you to know what kind of data is being used
Leslie District Data let's say continuous later in the future
you'll be doing since that linear regression logistic regression linear
regression will make sense If the variable is a number
legislation Grecian will make sense of the very belisa 01
If you have that problem now in the media data
you need to be able to tell not only what
business information this variable contains for also what kind of
computational object it is So the court can run So
therefore what people often says that I am going to
make it very simple And I'm going to assume that

English: 
my entire data frame consists of only one kind of
so that when I ran in Al Gore is um
on it I know exactly what kind of data input
that algorithm is going to get what I'm saying is
a practical answer that many companies often often have And
I worked in a couple of companies at his one
company where this was very seriously so we had to
wear two When we put data back in we had
to convert it And in the situation that I was
in it wanted everything in categories So what we would
do is we take continuous data and we would do
was call find classing which means that we would divide
not into four pieces by into 10 pieces This I
want decide to SLC decide for up to decide one
and every variable was stored now not in its original
numbers but has 10 98765432 So the support that I
tell his income is nice What that means is I
know he is in the ninth decide 10% of the
people or more have income more than him 80% have
less than him is in that racket Had all variables

English: 
my entire data frame consists of only one kind of
so that when I ran in Al Gore is um
on it I know exactly what kind of data input
that algorithm is going to get what I'm saying is
a practical answer that many companies often often have And
I worked in a couple of companies at his one
company where this was very seriously so we had to
wear two When we put data back in we had
to convert it And in the situation that I was
in it wanted everything in categories So what we would
do is we take continuous data and we would do
was call find classing which means that we would divide
not into four pieces by into 10 pieces This I
want decide to SLC decide for up to decide one
and every variable was stored now not in its original
numbers but has 10 98765432 So the support that I
tell his income is nice What that means is I
know he is in the ninth decide 10% of the
people or more have income more than him 80% have
less than him is in that racket Had all variables

English: 
were stored that now what happens is every algorithm knows
that every variable is going to be stored that and
you can keep rating algorithms Otherwise what would have to
happen is every l Gordon the money to be differently
Elissar you doing credit scoring They say you're doing Sciarra
models you know is something of this sort And you
build a very sophisticated Sierra model that tracks your customers
and it works now 70 year about a new variable
coming in the twitter feet and suddenly nothing works or
to do go back and rebuild that entire model that's
going to set you back 34 months is going to
set you back a few $1000 So you say no
Any variable that has to go in has to go
in in this form And if it goes into this
form my algorithm can deal with And in fact this
I am going far away from topic now in practise

English: 
were stored that now what happens is every algorithm knows
that every variable is going to be stored that and
you can keep rating algorithms Otherwise what would have to
happen is every l Gordon the money to be differently
Elissar you doing credit scoring They say you're doing Sciarra
models you know is something of this sort And you
build a very sophisticated Sierra model that tracks your customers
and it works now 70 year about a new variable
coming in the twitter feet and suddenly nothing works or
to do go back and rebuild that entire model that's
going to set you back 34 months is going to
set you back a few $1000 So you say no
Any variable that has to go in has to go
in in this form And if it goes into this
form my algorithm can deal with And in fact this
I am going far away from topic now in practise

English: 
and professional list has to struggle between doing the right
thing badly and wrong King Well you want to do
that But then I think well is going to cost
you time money data and everything Swiss channel Between saying
that get a floor model quickly built on a new
data set All I am going to get an inefficient
answer on a model that's already been done Ellis See
how far Inco's and these are More cultural issues with
Howard and analytical Solution is often deployed in cos they
very very much from industry to industry They very very
much from company to company from the culture of a
computer cultural company they defend on regulatory environments is certain
environments and auditor like entity comes in an insistent senior

English: 
and professional list has to struggle between doing the right
thing badly and wrong King Well you want to do
that But then I think well is going to cost
you time money data and everything Swiss channel Between saying
that get a floor model quickly built on a new
data set All I am going to get an inefficient
answer on a model that's already been done Ellis See
how far Inco's and these are More cultural issues with
Howard and analytical Solution is often deployed in cos they
very very much from industry to industry They very very
much from company to company from the culture of a
computer cultural company they defend on regulatory environments is certain
environments and auditor like entity comes in an insistent senior

English: 
data Show me your data Listen finances sometimes happening Wrigley
Treaties with the Reserve Bank of India goes into a
bank and says Show me your data All this MPs
as such as a show me your order book Show
me alone book Now that has to be done And
the decisions you made have to be done in a
way that is patently clear Why you have done this
so very often People say I want to make the
best rest decision I wanna make the most obvious risk
decision which may not be the same thing at all
but I'm being audited So that's a practical question and
I don't have a clean announced it to that But
I do know what happens Is it right No it's
not but we live in a world that has a
kind of imperfection Why one of my teachers His name
was Jerry Friedman You see some of his work Later
on he came up with Al Guardians That production pursued

English: 
data Show me your data Listen finances sometimes happening Wrigley
Treaties with the Reserve Bank of India goes into a
bank and says Show me your data All this MPs
as such as a show me your order book Show
me alone book Now that has to be done And
the decisions you made have to be done in a
way that is patently clear Why you have done this
so very often People say I want to make the
best rest decision I wanna make the most obvious risk
decision which may not be the same thing at all
but I'm being audited So that's a practical question and
I don't have a clean announced it to that But
I do know what happens Is it right No it's
not but we live in a world that has a
kind of imperfection Why one of my teachers His name
was Jerry Friedman You see some of his work Later
on he came up with Al Guardians That production pursued

English: 
cart Mars ready and boosting He created many of the
algorithms that will be studying one of my teaches at
Stanford When he ran our consulting classes he would say
this solve the problem Assuming you are an infinitely smart
client and infinitely fast computer after you're done that solve
the real problem when you do not have an injury
Really smart client and you do not have an infantry
first computer This was in the early 19 nineties or
computer speeds were a lot slower We will have powerful
machines like this around So a lot of this is
done in in that kind of situation where where you
are where you are struggling for continuity When you figuring
it out imagine yourself as in analytics manager and I
hope mean if he will be and human analytics team
sitting in front of you you looking at them any
looking at them in the eye and you know how

English: 
cart Mars ready and boosting He created many of the
algorithms that will be studying one of my teaches at
Stanford When he ran our consulting classes he would say
this solve the problem Assuming you are an infinitely smart
client and infinitely fast computer after you're done that solve
the real problem when you do not have an injury
Really smart client and you do not have an infantry
first computer This was in the early 19 nineties or
computer speeds were a lot slower We will have powerful
machines like this around So a lot of this is
done in in that kind of situation where where you
are where you are struggling for continuity When you figuring
it out imagine yourself as in analytics manager and I
hope mean if he will be and human analytics team
sitting in front of you you looking at them any
looking at them in the eye and you know how

English: 
much you're paying them and you know that half of
them are going to leave at the end of the
year Are you going to do with regard to the
modelling and things like that Your first order of business
is going to be to ensure continued to in some
form keep it simple rights Keep it simple keep it
obvious for the next bunch of people were going to
come in and for that you'd be willing to trade
a little bit off Make it right So now the
news person coming in will now not want to solve
a very complicated kind of situation This is not where
you want to be but and I do not want
to depress you on Day one But it's also the
fun part of the profession It is also interesting and
extract are interesting and exciting So the history Graham Command
summaries of what the programmes are in each gives your

English: 
much you're paying them and you know that half of
them are going to leave at the end of the
year Are you going to do with regard to the
modelling and things like that Your first order of business
is going to be to ensure continued to in some
form keep it simple rights Keep it simple keep it
obvious for the next bunch of people were going to
come in and for that you'd be willing to trade
a little bit off Make it right So now the
news person coming in will now not want to solve
a very complicated kind of situation This is not where
you want to be but and I do not want
to depress you on Day one But it's also the
fun part of the profession It is also interesting and
extract are interesting and exciting So the history Graham Command
summaries of what the programmes are in each gives your

English: 
central water distribution is And as you can see from
most of these pictures most of these variables when they
do have ask you tend to ever X Q Maybe
education has a little bit of a left skew Maybe
educational liberal will ask you that a few people are
educated most people are here But even so who now
here's the interesting plot Met Mark Life has This is
well but Simone has a better version of it This
is what's called a box plot you've seen above There's
a box plot People are unsure as to where his
box came from because as a sensational box who's used
this before But this bus came from used to be
called a box and whisker plot this in the viscous
This whisker will go This is This is the medium

English: 
central water distribution is And as you can see from
most of these pictures most of these variables when they
do have ask you tend to ever X Q Maybe
education has a little bit of a left skew Maybe
educational liberal will ask you that a few people are
educated most people are here But even so who now
here's the interesting plot Met Mark Life has This is
well but Simone has a better version of it This
is what's called a box plot you've seen above There's
a box plot People are unsure as to where his
box came from because as a sensational box who's used
this before But this bus came from used to be
called a box and whisker plot this in the viscous
This whisker will go This is This is the medium

English: 
This is the upper quarters The top page of the
box The bottom edge of the box is the lower
quarters The end of the whisker is 1.5 times the
inter portal range above the box If you want a
formula sort of the whisker The length of the whisker
is 1.5 times a Q R Should have a break
now My Olympic Maybe her so will book and 3
45 were will be there I haven't stopped Righteous got
distracted so 1.5 times the If it goes up to
that if a point lies outside it the point is

English: 
This is the upper quarters The top page of the
box The bottom edge of the box is the lower
quarters The end of the whisker is 1.5 times the
inter portal range above the box If you want a
formula sort of the whisker The length of the whisker
is 1.5 times a Q R Should have a break
now My Olympic Maybe her so will book and 3
45 were will be there I haven't stopped Righteous got
distracted so 1.5 times the If it goes up to
that if a point lies outside it the point is

English: 
shown outside If the data is before it the whisker
also ends What is the What is the Let me
explain another way Do Oscar is the maximum the top
of the whiskers A maximum The bottom of the whiskers
The minimum not okay Booking the so this point here
What is this plot Year Age for Mills So this
means is this is the minimum 18 of whatever it
is on this the maximum 48 or whatever it is
minimum the maximum So if you see nothing else on
the box plot no other points other than just the
box and the then your five point summaries sitting there

English: 
shown outside If the data is before it the whisker
also ends What is the What is the Let me
explain another way Do Oscar is the maximum the top
of the whiskers A maximum The bottom of the whiskers
The minimum not okay Booking the so this point here
What is this plot Year Age for Mills So this
means is this is the minimum 18 of whatever it
is on this the maximum 48 or whatever it is
minimum the maximum So if you see nothing else on
the box plot no other points other than just the
box and the then your five point summaries sitting there

English: 
What happens if you see points like this outlines what
is an outline And out there is a point that
lies more than 1.5 times the inter portal range above
the box So this whisker will not extend the indefinitely
It will go up to 1.5 times this box and
they will stop And if any points are still left
outside it will show them as dot you can treat
This is the definition for what an outline is Say
anything and generations the metric that means this minute has
it is a e can change it You can I

English: 
What happens if you see points like this outlines what
is an outline And out there is a point that
lies more than 1.5 times the inter portal range above
the box So this whisker will not extend the indefinitely
It will go up to 1.5 times this box and
they will stop And if any points are still left
outside it will show them as dot you can treat
This is the definition for what an outline is Say
anything and generations the metric that means this minute has
it is a e can change it You can I

English: 
won't try it now but even go to box first
syntax and change that You can go to box flood
syntax and you can change that 1.5 It's not hard
coded into the algorithm I think 95% sure as China
Station and never she rode anything But it's a parameter
in the in the issue of you know passive animated
in the spot function Default is one point You should
be Ways to these two colours are because have asked
for two things have asked for male and female If
I if I had three of them through this this
one here this is Q three the lower Rescue three

English: 
won't try it now but even go to box first
syntax and change that You can go to box flood
syntax and you can change that 1.5 It's not hard
coded into the algorithm I think 95% sure as China
Station and never she rode anything But it's a parameter
in the in the issue of you know passive animated
in the spot function Default is one point You should
be Ways to these two colours are because have asked
for two things have asked for male and female If
I if I had three of them through this this
one here this is Q three the lower Rescue three

English: 
and the upper is low Rescue one on the upper
rescue Three for meals between the bottom bottom Whisker to
the end of the box is 1/4 of your data
The box is half your data and the top of
the box to the end of the whisker is quarter
a few days The the media there is also function
in box plus you can pay with where will give
your dot and that dot is the mean you can
you can ask box brought to do that But I
mean is not as generous Standard component in the five
points summary is a different calculation Not a sort But
if you want to you can make box spot to
give a dot on the mean as well By definition

English: 
and the upper is low Rescue one on the upper
rescue Three for meals between the bottom bottom Whisker to
the end of the box is 1/4 of your data
The box is half your data and the top of
the box to the end of the whisker is quarter
a few days The the media there is also function
in box plus you can pay with where will give
your dot and that dot is the mean you can
you can ask box brought to do that But I
mean is not as generous Standard component in the five
points summary is a different calculation Not a sort But
if you want to you can make box spot to
give a dot on the mean as well By definition

English: 
yes years so mean meetings So half the data is
between 24 34 hours whatever that is half of all
like all the men in my sample are between those
two numbers I think box front doesn't allow you to
change the shape of the box I think that is
set That's our central to the idea of a box
It does allow you to fiddle with the size of
the whisker right Don't think it allows you to fiddle
with the size of a box There was if you
change that to something else let's say the 20% point
to the 80% 800.80 20 rule that's no longer a
box pluck is another interesting plot The significance of it
is exactly this as we have seen before The significance
of it is is that the gator looks like this

English: 
yes years so mean meetings So half the data is
between 24 34 hours whatever that is half of all
like all the men in my sample are between those
two numbers I think box front doesn't allow you to
change the shape of the box I think that is
set That's our central to the idea of a box
It does allow you to fiddle with the size of
the whisker right Don't think it allows you to fiddle
with the size of a box There was if you
change that to something else let's say the 20% point
to the 80% 800.80 20 rule that's no longer a
box pluck is another interesting plot The significance of it
is exactly this as we have seen before The significance
of it is is that the gator looks like this

English: 
It's rights Cute Think of the picture So this is
your Q one and this is your Q three This
is your cue to other medium Then the median is
going to be closer to queue one than it is
to queue tree in the same way that the minimum
will be closer to the media and the maximum same
idea This is a summary isation for numbers If you
want to summarise for categorical data what's called across cap
or across Cam you elation This is simply how many
products of this product category 1 95 for 98 7
98 There were three kinds of treadmills and they're trying
to understand which who was using what kind of treatment
our business problem is to understand who was using what
product this is across step What is this This is
something that will be used for categorical variables No box

English: 
It's rights Cute Think of the picture So this is
your Q one and this is your Q three This
is your cue to other medium Then the median is
going to be closer to queue one than it is
to queue tree in the same way that the minimum
will be closer to the media and the maximum same
idea This is a summary isation for numbers If you
want to summarise for categorical data what's called across cap
or across Cam you elation This is simply how many
products of this product category 1 95 for 98 7
98 There were three kinds of treadmills and they're trying
to understand which who was using what kind of treatment
our business problem is to understand who was using what
product this is across step What is this This is
something that will be used for categorical variables No box

English: 
spot will make sense here Hello Numbers You can ask
interesting questions here if you want to and you can
think about how to answer it is that for example
can ask the question Is there a difference between the
preferences of men and women possibly Is there a difference
in the the irrespective of gender is a product that
they prefer Then ask all kinds interesting questions and you
can find ways to answer it which we will do
not in this presidency for next time So this is
simply once again this is descriptive All this is done
is it has simply told you the data as it
is But I'm saying is that if for this if
you want to do a little more analysis on it
you now have to reach a conclusion based on it
So for example one conclusion to ask this is that
is that do men and women have the same preferences

English: 
spot will make sense here Hello Numbers You can ask
interesting questions here if you want to and you can
think about how to answer it is that for example
can ask the question Is there a difference between the
preferences of men and women possibly Is there a difference
in the the irrespective of gender is a product that
they prefer Then ask all kinds interesting questions and you
can find ways to answer it which we will do
not in this presidency for next time So this is
simply once again this is descriptive All this is done
is it has simply told you the data as it
is But I'm saying is that if for this if
you want to do a little more analysis on it
you now have to reach a conclusion based on it
So for example one conclusion to ask this is that
is that do men and women have the same preferences

English: 
when it comes to the fitness product they use No
that's a question to Also that question is enough to
look at the data but just looking at it will
not give me the answer I need to be able
to find a statistic to figure that out a statistic
that does what that is Some way measures that difference
Let's measures the difference between men and women or what
we will do is not measure that What will Luis
will measure that East there was no difference between men
and women What should this table have look like And
then will compare the difference between these counts and that
table But that's the interesting part of a statistical statistic
Which will do is call the Chi Square test It's
coming up in the next residency but that's the prediction
part or the inference part of this destruction This is
just the destruction even though similar thing here This for

English: 
when it comes to the fitness product they use No
that's a question to Also that question is enough to
look at the data but just looking at it will
not give me the answer I need to be able
to find a statistic to figure that out a statistic
that does what that is Some way measures that difference
Let's measures the difference between men and women or what
we will do is not measure that What will Luis
will measure that East there was no difference between men
and women What should this table have look like And
then will compare the difference between these counts and that
table But that's the interesting part of a statistical statistic
Which will do is call the Chi Square test It's
coming up in the next residency but that's the prediction
part or the inference part of this destruction This is
just the destruction even though similar thing here This for

English: 
example is for marital status and product What product to
use are you not really depending with a A partner
So what is natural fried crisp are made has rude
age away with the correlated should use one as opposed
to the other Okay you can use counts as well
if you see instead instead of instead of doing it
this way instead of seeing it is a table If
you want to see it as a plot we will
ask for counts So there are things that count plots
and bar plots which allow you to do counts in
the lab You'll do from really a few more of
these This is simply another visual isation of the same
thing For those of you like things that river tables
in Excel series Microsoft has made you know wonders of
us all in corporate life There were two I was

English: 
example is for marital status and product What product to
use are you not really depending with a A partner
So what is natural fried crisp are made has rude
age away with the correlated should use one as opposed
to the other Okay you can use counts as well
if you see instead instead of instead of doing it
this way instead of seeing it is a table If
you want to see it as a plot we will
ask for counts So there are things that count plots
and bar plots which allow you to do counts in
the lab You'll do from really a few more of
these This is simply another visual isation of the same
thing For those of you like things that river tables
in Excel series Microsoft has made you know wonders of
us all in corporate life There were two I was

English: 
told that you know you can have another master's in
bachelor the masters in anything Engineering is good at sex
and it's nice if you if if you have European
she's in a few areas But what you really need
is a P Jin PowerPoint engineering I mean that's a
necessary qualification for success Certain tools have been used so
therefore those tools have been implemented in many of these
Softwares as well This is the river table version of
the same data set This the last not last but
still this is a This is a plot Let me
show you this plot and then we'll end will take
a break This is a plot that is a very
popular plot because it is a very lazy flood This
plot requires extremely little thinking lot of a deed of
him You okay Want the very bizarre You're telling it
nothing about the plots You're simply saying Figure out a

English: 
told that you know you can have another master's in
bachelor the masters in anything Engineering is good at sex
and it's nice if you if if you have European
she's in a few areas But what you really need
is a P Jin PowerPoint engineering I mean that's a
necessary qualification for success Certain tools have been used so
therefore those tools have been implemented in many of these
Softwares as well This is the river table version of
the same data set This the last not last but
still this is a This is a plot Let me
show you this plot and then we'll end will take
a break This is a plot that is a very
popular plot because it is a very lazy flood This
plot requires extremely little thinking lot of a deed of
him You okay Want the very bizarre You're telling it
nothing about the plots You're simply saying Figure out a

English: 
way to plot them pair by pair and he does
it So for example how would you re in this
plot on this sites we create the matrix The rules
are a variable and the columns are variables What is
this This is H versus the age Each forces h
makes no sense So what it plots there is Instagram
of age doesn't like the gap nature and moans of
a Q I suppose Python does as well So on
assure a lot his age was You're right It should

English: 
way to plot them pair by pair and he does
it So for example how would you re in this
plot on this sites we create the matrix The rules
are a variable and the columns are variables What is
this This is H versus the age Each forces h
makes no sense So what it plots there is Instagram
of age doesn't like the gap nature and moans of
a Q I suppose Python does as well So on
assure a lot his age was You're right It should

English: 
have been a 45 degree lives 45 uses graphic particularly
the same 40 50 line shows up in all the
diagonals So to make a more interesting graphic it plus
the history this Canalys ISS This kind of analysis sometimes
has a name associated with it The name is uni
variant uni vary it means and looking at it variable
by variable one variable a time Williams looking at age
only looking at age University analysis is unique as in
uniform same form uni cycle cycle with one Well things
are Unitarian unit but for the set of data also
gave the same later in replicant the same It would
replicate the same nature of the data They always programme

English: 
have been a 45 degree lives 45 uses graphic particularly
the same 40 50 line shows up in all the
diagonals So to make a more interesting graphic it plus
the history this Canalys ISS This kind of analysis sometimes
has a name associated with it The name is uni
variant uni vary it means and looking at it variable
by variable one variable a time Williams looking at age
only looking at age University analysis is unique as in
uniform same form uni cycle cycle with one Well things
are Unitarian unit but for the set of data also
gave the same later in replicant the same It would
replicate the same nature of the data They always programme

English: 
here against Well so yes So what it will do
is remember that this graph the nature of the graph
So let's let's see this So where is gender here
Where is gender Here is is gender is gender In
my data it is So when I did bass plot
my data what did he do with gender Yes Remember

English: 
here against Well so yes So what it will do
is remember that this graph the nature of the graph
So let's let's see this So where is gender here
Where is gender Here is is gender is gender In
my data it is So when I did bass plot
my data what did he do with gender Yes Remember

English: 
in in for when we did in for here Remember
how it it's stored the data Not any in here
So it had product gender and mater status It had
identified as objects in the dead of it where he
could form the data free soon I What does it
tell you about the about the command The pace Law
Command Yes even if we know those objects So in
answer to your questions if the data frame has been
stored has been captured with indigent 60 40 basically indigenous
or numeric seen it It'll plot if his oil objects

English: 
in in for when we did in for here Remember
how it it's stored the data Not any in here
So it had product gender and mater status It had
identified as objects in the dead of it where he
could form the data free soon I What does it
tell you about the about the command The pace Law
Command Yes even if we know those objects So in
answer to your questions if the data frame has been
stored has been captured with indigent 60 40 basically indigenous
or numeric seen it It'll plot if his oil objects

English: 
in Probably given all planned is known why like that
This is the Instagram This is the same block This
plot is the same as it's flood This one is
the same as this one here No there is not
age was his age This is just age age verses
Age would have been a 45 degree lives but is
not plotting That is for flooding that in the diagonal
it is not plotting age buses age in the diagonal
It is simply plotting ages Own distribution Yes with the
council What it is doing is it is essentially running
his each all each observation and put it on the

English: 
in Probably given all planned is known why like that
This is the Instagram This is the same block This
plot is the same as it's flood This one is
the same as this one here No there is not
age was his age This is just age age verses
Age would have been a 45 degree lives but is
not plotting That is for flooding that in the diagonal
it is not plotting age buses age in the diagonal
It is simply plotting ages Own distribution Yes with the
council What it is doing is it is essentially running
his each all each observation and put it on the

English: 
20 from each bill is account Food is a count
of the number of people who are in that age
group Here this is engine of this Miles this is
H This is age so seriously between here between let's
say 40.5 and 43.5 Whatever these numbers are there are
three people It remember the history Graham is a view
of thing You can get a minor instagram if you
want to which means you can you can find out
what those are and you concede incited inside his programme
Just ask for somebody that it will give you what
the features are off that his Children But the history
um is on meant to be used that way It's

English: 
20 from each bill is account Food is a count
of the number of people who are in that age
group Here this is engine of this Miles this is
H This is age so seriously between here between let's
say 40.5 and 43.5 Whatever these numbers are there are
three people It remember the history Graham is a view
of thing You can get a minor instagram if you
want to which means you can you can find out
what those are and you concede incited inside his programme
Just ask for somebody that it will give you what
the features are off that his Children But the history
um is on meant to be used that way It's

English: 
meant to be used as er as an optical device
to see the shape to see the count It's an
art to do his job If you change the bins
the gamble locally different Sybil suggest that unless you've got
a lot of experience in this or you really enjoy
the programming do not feel with the programme It's ship
will change our school in later after the break not
changes to remember what shape is not in not in
default You can go in and change it on size
but the bill weights etc Truck been wit of instagram
takes a little motor change You can you can find
other things in which you can play this So there
are ways to do it Okay quickly ending We're losing

English: 
meant to be used as er as an optical device
to see the shape to see the count It's an
art to do his job If you change the bins
the gamble locally different Sybil suggest that unless you've got
a lot of experience in this or you really enjoy
the programming do not feel with the programme It's ship
will change our school in later after the break not
changes to remember what shape is not in not in
default You can go in and change it on size
but the bill weights etc Truck been wit of instagram
takes a little motor change You can you can find
other things in which you can play this So there
are ways to do it Okay quickly ending We're losing

English: 
our food So these different floods and will continue after
the break The rest of it is simply and expresses
Why so for example this is each versus education This
is the age versus education from the Yes he is
right If this is education in the UAE access and
age on the X axis of vice versa These two
plus one in two and two and one are just
mirror images of each other The way you look for
the thing I remember when I was when I was
a kid Mirrors would confuse me So I would ask
the question like this when I see a mirror left
and night gets switched but top and bottom don't I

English: 
our food So these different floods and will continue after
the break The rest of it is simply and expresses
Why so for example this is each versus education This
is the age versus education from the Yes he is
right If this is education in the UAE access and
age on the X axis of vice versa These two
plus one in two and two and one are just
mirror images of each other The way you look for
the thing I remember when I was when I was
a kid Mirrors would confuse me So I would ask
the question like this when I see a mirror left
and night gets switched but top and bottom don't I

English: 
am in Understood Why Due to gravity you can think
left and gets switched the top and bottom know naturalism
into the mirror And then I called assembly Do my
eyes you know maybe was a look at it this
way That didn't help So it's an important point when
you do Symmetry is a good catch The good cash
realise that there are so many plots We're actually only
half as many plots because the plot on decided his
programmes in the plot on the opposite side of his
programmes are the same There is another question that one
a few assets that many of these seem to look
like rules and columns in the sense that what are
these Rose What is this role Look What is this
mean It means that this variable fitness this very well
fitness actually has very few numbers in it It has
a number 1234 and five No Why's that Because remember
how I define fitness is my perception of whether it

English: 
am in Understood Why Due to gravity you can think
left and gets switched the top and bottom know naturalism
into the mirror And then I called assembly Do my
eyes you know maybe was a look at it this
way That didn't help So it's an important point when
you do Symmetry is a good catch The good cash
realise that there are so many plots We're actually only
half as many plots because the plot on decided his
programmes in the plot on the opposite side of his
programmes are the same There is another question that one
a few assets that many of these seem to look
like rules and columns in the sense that what are
these Rose What is this role Look What is this
mean It means that this variable fitness this very well
fitness actually has very few numbers in it It has
a number 1234 and five No Why's that Because remember
how I define fitness is my perception of whether it

English: 
was fit or not In my original definition of the
variables Here you go self raided and fitness And 125
Silver one is in poor ship and five is in
excellent ship This was the created data So in this
data set I now have this variable in it These
kinds of variable sometimes cause difficulty in the sense that
they are some There's a word for it These are
sometimes called orginal variables So sometimes data is looked at
sort of you know numerical and categorical Categorical is some
cam call nominal An ordinance nominal means is a name
name of a personal not southeastern West gender male Female
place etcetera is a variable Essentially it's a mim order
analysts It's also categorical but there is a sense of

English: 
was fit or not In my original definition of the
variables Here you go self raided and fitness And 125
Silver one is in poor ship and five is in
excellent ship This was the created data So in this
data set I now have this variable in it These
kinds of variable sometimes cause difficulty in the sense that
they are some There's a word for it These are
sometimes called orginal variables So sometimes data is looked at
sort of you know numerical and categorical Categorical is some
cam call nominal An ordinance nominal means is a name
name of a personal not southeastern West gender male Female
place etcetera is a variable Essentially it's a mim order
analysts It's also categorical but there is a sense of

English: 
order This is order dissatisfied very dissatisfied So there's an
order order therefore ordinance this we're able to fitness variable
can if you wish be treated as an orginal categorical
variable So for example delicate skill is acts to the
seven point scale Not satisfied very dissatisfied dissatisfied morally dissatisfied
neutral morally satisfied satisfied very satisfied Mark one This unit's
the data from a scale of say 127 or 0
to 6 So will show up in your databases and
number like for example here you can see instead a
125 Very Ulf it moderately unfit Okay Relatively fit Very
effect is still giving 125 Give it that way And
you quoted up this way your choice So sometimes many

English: 
order This is order dissatisfied very dissatisfied So there's an
order order therefore ordinance this we're able to fitness variable
can if you wish be treated as an orginal categorical
variable So for example delicate skill is acts to the
seven point scale Not satisfied very dissatisfied dissatisfied morally dissatisfied
neutral morally satisfied satisfied very satisfied Mark one This unit's
the data from a scale of say 127 or 0
to 6 So will show up in your databases and
number like for example here you can see instead a
125 Very Ulf it moderately unfit Okay Relatively fit Very
effect is still giving 125 Give it that way And
you quoted up this way your choice So sometimes many

English: 
of data that looks for us the date of the
tight earn or any database will recognise it as a
number because you've entered it has a number but you
analyse it as if it is a category So the
opposite problem also sometimes exists in that sometimes you get
to see a categorical variable show up as a number
but you know it's the categorical variable A Ziff court
is an example A Zip court shows up as a
number but it's obviously not You can't add up zip
courts You take two places in Bangalore and you want
to find a place between them That's not the average
of this Of course it may be close but you
can't do arrest meeting with ZIP codes The other difficultly
with ZIP courts is that there can be many of
them which means that as your data said grows the
number of ZIP codes also grows So the number of
values that are variable can take grows with the data

English: 
of data that looks for us the date of the
tight earn or any database will recognise it as a
number because you've entered it has a number but you
analyse it as if it is a category So the
opposite problem also sometimes exists in that sometimes you get
to see a categorical variable show up as a number
but you know it's the categorical variable A Ziff court
is an example A Zip court shows up as a
number but it's obviously not You can't add up zip
courts You take two places in Bangalore and you want
to find a place between them That's not the average
of this Of course it may be close but you
can't do arrest meeting with ZIP codes The other difficultly
with ZIP courts is that there can be many of
them which means that as your data said grows the
number of ZIP codes also grows So the number of
values that are variable can take grows with the data

English: 
And this sometimes causes a difficulty Because what happens is
that in the statement of the definition of the variable
you now cannot state how many categories there will be
present So you know that there will be more Ziff
courts coming You just don't know how many more of
course will be coming But you also knows the categorical
variables you can treated like a number And so there
is on special types of problems like Zip courts that
requires special types of solutions So the plot itself is
a very very computational plot If it recognises it as
a number in plots it if you don't want make
it floods the number changes to a canister most of
ways including pipes and will allow you to do that

English: 
And this sometimes causes a difficulty Because what happens is
that in the statement of the definition of the variable
you now cannot state how many categories there will be
present So you know that there will be more Ziff
courts coming You just don't know how many more of
course will be coming But you also knows the categorical
variables you can treated like a number And so there
is on special types of problems like Zip courts that
requires special types of solutions So the plot itself is
a very very computational plot If it recognises it as
a number in plots it if you don't want make
it floods the number changes to a canister most of
ways including pipes and will allow you to do that

English: 
Whatever news we have been hearing 88 tell air our
ground attacks does like targeted missiles major it of all
these or in all of all these applications some algorithms
like say which we collars like city enforcement Lonnie Okay
these algorithms are implemented And when you actually get into
the enforcement learning there is good amount of uneasiness It
is very easy to talk about it like say how
it works on all these things Political Actually we can
draw very nice diagrams on the board But when it
comes to implementation okay are even like say even think
about implementation Okay How to create data is one of
the toughest us Actually when I entered into reinforcement learning
I did not not is different difficulties Actually we shared

English: 
Whatever news we have been hearing 88 tell air our
ground attacks does like targeted missiles major it of all
these or in all of all these applications some algorithms
like say which we collars like city enforcement Lonnie Okay
these algorithms are implemented And when you actually get into
the enforcement learning there is good amount of uneasiness It
is very easy to talk about it like say how
it works on all these things Political Actually we can
draw very nice diagrams on the board But when it
comes to implementation okay are even like say even think
about implementation Okay How to create data is one of
the toughest us Actually when I entered into reinforcement learning
I did not not is different difficulties Actually we shared

English: 
some of the material Today's presentation PPT a pdf form
and also there is one in a right of okay
the right of actual I implemented some time back and
I'm actually trying to go for patent of that of
course I revealed to the extent that my idea is
not completely my idea cannot be completely copied So the
10 I say as of now you have Escalon library
for Mission learning Okay Only whole except answer from recently
came up like session to pay us back for deep
learning And when we actually started programming for the this
reinforcement learning there was no library per se We had
actually write our own of framework to or complete the
toss for just one obligation It took around a nine
months for me to complete that end Okay so I'll
be actually touch basing this one tomorrow second of because

English: 
some of the material Today's presentation PPT a pdf form
and also there is one in a right of okay
the right of actual I implemented some time back and
I'm actually trying to go for patent of that of
course I revealed to the extent that my idea is
not completely my idea cannot be completely copied So the
10 I say as of now you have Escalon library
for Mission learning Okay Only whole except answer from recently
came up like session to pay us back for deep
learning And when we actually started programming for the this
reinforcement learning there was no library per se We had
actually write our own of framework to or complete the
toss for just one obligation It took around a nine
months for me to complete that end Okay so I'll
be actually touch basing this one tomorrow second of because

English: 
I will not be able to implement And so he
because that is bigger application But I will be working
you through like different stages If we take a real
time scenario how do you actually model and then get
to that level where you can implement And before that
we actually implement some type problems In fact it is
actually from through three years old I will be actually
touched basing that framework and then will get into the
Hanson Okay there is something called open a gym United
the framework And of course there Alexis three for more
frameworks Water mentioned in Cora But they are not maintained
well and using existing framework for open like the reinforcement
Learning is a challenging reason Is the data what I
use verses The data What use here The data and
I want to excel a gate Anterselva drinker and you
want to basically hit some target so the environments are
completely different So coming up with a generic environment where

English: 
I will not be able to implement And so he
because that is bigger application But I will be working
you through like different stages If we take a real
time scenario how do you actually model and then get
to that level where you can implement And before that
we actually implement some type problems In fact it is
actually from through three years old I will be actually
touched basing that framework and then will get into the
Hanson Okay there is something called open a gym United
the framework And of course there Alexis three for more
frameworks Water mentioned in Cora But they are not maintained
well and using existing framework for open like the reinforcement
Learning is a challenging reason Is the data what I
use verses The data What use here The data and
I want to excel a gate Anterselva drinker and you
want to basically hit some target so the environments are
completely different So coming up with a generic environment where

English: 
everyone can use that library is very difficult OK as
of now this may actually looked little bit of jargon
I will explain and then it will be clear Okay
so the agenda is as follows We start with introduction
to reinforcement Lonnie And then no First of all why
should be a killing it into this one There should
be some more business uh value Right So we'll likely
see patent pretence in or different technologies He actually has
already good amount of surprising learning and surprise Aloni Deep
learning Not today We held our enforcement learning and this
is like as of no one of the latest trending
things in the market deploying followed by a reinforcement learning
how many of you know deepmind in Google's different right
So people are already we're about it And Google's depend

English: 
everyone can use that library is very difficult OK as
of now this may actually looked little bit of jargon
I will explain and then it will be clear Okay
so the agenda is as follows We start with introduction
to reinforcement Lonnie And then no First of all why
should be a killing it into this one There should
be some more business uh value Right So we'll likely
see patent pretence in or different technologies He actually has
already good amount of surprising learning and surprise Aloni Deep
learning Not today We held our enforcement learning and this
is like as of no one of the latest trending
things in the market deploying followed by a reinforcement learning
how many of you know deepmind in Google's different right
So people are already we're about it And Google's depend

English: 
alphago actually defeated um this like say old champion go
game rate And it was nice I think 100 0
No So that means like and that was one of
the toughest against it seems to actually I don't have
any intention about that game So that was one of
the toughest against It seems to beat human So people
actually came up it The combining deep learning and reinforcement
learning are now they are able to basically beat world
champions in the area Okay And this happened just recently
right So we'll see Like Say what General What is
the trend in paid LF pretence When When it comes
to these the technologies even expect less The surprising learning
will be leading The patents will see those surprises Okay
And then what are the differences between surprising learning unsupervised
learning and reinforcement learning on few examples like seawater dominant

English: 
alphago actually defeated um this like say old champion go
game rate And it was nice I think 100 0
No So that means like and that was one of
the toughest against it seems to actually I don't have
any intention about that game So that was one of
the toughest against It seems to beat human So people
actually came up it The combining deep learning and reinforcement
learning are now they are able to basically beat world
champions in the area Okay And this happened just recently
right So we'll see Like Say what General What is
the trend in paid LF pretence When When it comes
to these the technologies even expect less The surprising learning
will be leading The patents will see those surprises Okay
And then what are the differences between surprising learning unsupervised
learning and reinforcement learning on few examples like seawater dominant

English: 
or problems be solved using our L and then we
get into introduction to oral And what are the important
concepts The important of components in followed by one of
the celebrated algorithms in of r r L Killarney Okay
Well if you ask me like why that name Q
I actually do not have Don't have idea but probably
the guy who invented he Hassan Russian roots looks like
and then or you have like a couple of yesterday
so smart Taxi And then I do that smart taxi
in class easing this tremor quarter the orphan mentioned open
a regime and then he will be actually solving the
next one frozen like four by four That is the

English: 
or problems be solved using our L and then we
get into introduction to oral And what are the important
concepts The important of components in followed by one of
the celebrated algorithms in of r r L Killarney Okay
Well if you ask me like why that name Q
I actually do not have Don't have idea but probably
the guy who invented he Hassan Russian roots looks like
and then or you have like a couple of yesterday
so smart Taxi And then I do that smart taxi
in class easing this tremor quarter the orphan mentioned open
a regime and then he will be actually solving the
next one frozen like four by four That is the

English: 
service He wanted that for before And then we actually
start improving or to learning from there onwards And then
we get in the second case elected the same yesterday
extension And finally we go to the next level of
few learning improvement of you learning to the I said
you learning slowly Improvement second level improvement The name looks
like say some more person embodied actually state action reward
state actions Okay And finally will be touch missing on
North this real world Doc yesterday this document is already
shared with you So would know what we expect up
by the end of this model I mean this four
hours and next for us will be able to actually
programme to some extent real world scenarios Okay today self
and said like seven total this framework holiest Ali small

English: 
service He wanted that for before And then we actually
start improving or to learning from there onwards And then
we get in the second case elected the same yesterday
extension And finally we go to the next level of
few learning improvement of you learning to the I said
you learning slowly Improvement second level improvement The name looks
like say some more person embodied actually state action reward
state actions Okay And finally will be touch missing on
North this real world Doc yesterday this document is already
shared with you So would know what we expect up
by the end of this model I mean this four
hours and next for us will be able to actually
programme to some extent real world scenarios Okay today self
and said like seven total this framework holiest Ali small

English: 
problem lexie programming environment And then okay said that code
as well So that without easing the built in environment
this Open a framework Okay How do you solve the
problem I believed that will be more beneficial But I
cannot give that one in the classroom because there will
be like say hundreds of lines of code But I
can explain the structure of it goes and then we
can describe about different scenarios in finally examples Okay Explain
of various models or in our That's what we can
expect from this course from this model Okay And of
course having said all these things you can see like
say the top notch applications water we are actually seeing
in the market No most of them are programmed using
some form of Farrell Okay so there will be good
amount of complexity when you actually go for the bigger

English: 
problem lexie programming environment And then okay said that code
as well So that without easing the built in environment
this Open a framework Okay How do you solve the
problem I believed that will be more beneficial But I
cannot give that one in the classroom because there will
be like say hundreds of lines of code But I
can explain the structure of it goes and then we
can describe about different scenarios in finally examples Okay Explain
of various models or in our That's what we can
expect from this course from this model Okay And of
course having said all these things you can see like
say the top notch applications water we are actually seeing
in the market No most of them are programmed using
some form of Farrell Okay so there will be good
amount of complexity when you actually go for the bigger

English: 
yesterday's will Trade actually keep it as simple as possible
from class under towards the end will actually make it
little more complex and more realistic yesterday Okay so when
it comes to pay such actually just a quickly blows
our troops or the patents for example came in is
is one of the um trending words among a data
scientist came in and actually look at the number of
tents filed easing came in such award There were around
6 20 not file patents awarded on with the deep
learning There are like a around 100 K patents deploying
being one of the oldest to technical exit actually started
in 1960 70 straight So and then reinforcement learning which
is like one of the latest ones you can call

English: 
yesterday's will Trade actually keep it as simple as possible
from class under towards the end will actually make it
little more complex and more realistic yesterday Okay so when
it comes to pay such actually just a quickly blows
our troops or the patents for example came in is
is one of the um trending words among a data
scientist came in and actually look at the number of
tents filed easing came in such award There were around
6 20 not file patents awarded on with the deep
learning There are like a around 100 K patents deploying
being one of the oldest to technical exit actually started
in 1960 70 straight So and then reinforcement learning which
is like one of the latest ones you can call

English: 
that has like 65,000 odd And if it's the the
latest one I mean lost 23 years The amount of
applications people are developing on going for patents or dominant
in our l combining or a land deal these two
areas of dominant in generating values And also if you
see the takeovers in start of people focusing on this
too deep learning R R l okay this tour like
said dominant when it comes to start up If I
have showcases some rally with R L We have hired
tens of maybe taking over by Google recently Like some
nine months back It happened in Bangalore Red one not
actually Team itself was acquired by Google It was not
even like system has established the start up Okay they
showcased some 1,000,000 deal and it was taken over by
Google on some undisclosed money The Han They did not
disclose how much money they have paid Let me actually

English: 
that has like 65,000 odd And if it's the the
latest one I mean lost 23 years The amount of
applications people are developing on going for patents or dominant
in our l combining or a land deal these two
areas of dominant in generating values And also if you
see the takeovers in start of people focusing on this
too deep learning R R l okay this tour like
said dominant when it comes to start up If I
have showcases some rally with R L We have hired
tens of maybe taking over by Google recently Like some
nine months back It happened in Bangalore Red one not
actually Team itself was acquired by Google It was not
even like system has established the start up Okay they
showcased some 1,000,000 deal and it was taken over by
Google on some undisclosed money The Han They did not
disclose how much money they have paid Let me actually

English: 
just to give you that confidence What if the trend
in the latest one two things 40 can use alliance
Not Orjan the Google Pitons if it is like the
open so expectant Britain's information maintenance that so if I
actually do this fun Lancelot orgy So I go for
like say in this in first over the trend is
this year just we have We are just in March
that sweetie it actually came down But if this is
the growth receiving because an exponential maybe exponential of exponential

English: 
just to give you that confidence What if the trend
in the latest one two things 40 can use alliance
Not Orjan the Google Pitons if it is like the
open so expectant Britain's information maintenance that so if I
actually do this fun Lancelot orgy So I go for
like say in this in first over the trend is
this year just we have We are just in March
that sweetie it actually came down But if this is
the growth receiving because an exponential maybe exponential of exponential

English: 
and know if it actually locate this is some are
smooth in the recent past December smoother compared to the
previous one Great So the growth in rallies pretty dominant
computer deal in this in first because everyone is going
for automation So if you want to generate value I
think this could be one of the like the next
if you can take it And now you can actually
look at the other draw supervision learning algorithm saw in
the similar session You can actually go to Google Pay
attention see and you can see like in these things
what under all other things like say for example monitoring
method and monitoring device of deploying processor And you can

English: 
and know if it actually locate this is some are
smooth in the recent past December smoother compared to the
previous one Great So the growth in rallies pretty dominant
computer deal in this in first because everyone is going
for automation So if you want to generate value I
think this could be one of the like the next
if you can take it And now you can actually
look at the other draw supervision learning algorithm saw in
the similar session You can actually go to Google Pay
attention see and you can see like in these things
what under all other things like say for example monitoring
method and monitoring device of deploying processor And you can

English: 
actually see exactly what people are doing in this in
past Besides Aly said some for task like serious be
hard to get into this field Basically right The tide
introduce technology the wrists of something like say trend Is
your friend trendy Strader strained If some market is going
up or going down that is the best thing where
they can make money If market is fluctuating around a
point the explicit of the system and go for brick
So if they are able to see a strong trend
in one of these technologies are some of these technologies
Letters actually write the trend So in surprising learning we
have like X and y excess our independent said And
why is our target variable And so we want to
basically predict why easing X predict by using accelerations We
want to find a function function is nothing but the
relationship between X and Y That's what we want to
basically do in surprise a learning So some of the

English: 
actually see exactly what people are doing in this in
past Besides Aly said some for task like serious be
hard to get into this field Basically right The tide
introduce technology the wrists of something like say trend Is
your friend trendy Strader strained If some market is going
up or going down that is the best thing where
they can make money If market is fluctuating around a
point the explicit of the system and go for brick
So if they are able to see a strong trend
in one of these technologies are some of these technologies
Letters actually write the trend So in surprising learning we
have like X and y excess our independent said And
why is our target variable And so we want to
basically predict why easing X predict by using accelerations We
want to find a function function is nothing but the
relationship between X and Y That's what we want to
basically do in surprise a learning So some of the

English: 
examples like So you have classification at aggression then object
deductions Of course Again falling is either in norm classification
are out aggression prominently Classifications Okay um it's captioning Know
combining multiple in the technology like say if you have
your deal pressed the n lt caption like major captioning
Look at this What we learnt so far announced unsupervised
learning similar stuff But without way there is no target
So Justice Reese feature space We basically want to find
hidden patterns in the data is in this morning So
lonesome underlying head in presence in the given data That's
what we tried to look in using on super the
learning techniques So some of the examples clustering k means
our Haider cheol R D V scan Okay some of
the dimensionality reduction techniques places PCs affect analysis and then

English: 
examples like So you have classification at aggression then object
deductions Of course Again falling is either in norm classification
are out aggression prominently Classifications Okay um it's captioning Know
combining multiple in the technology like say if you have
your deal pressed the n lt caption like major captioning
Look at this What we learnt so far announced unsupervised
learning similar stuff But without way there is no target
So Justice Reese feature space We basically want to find
hidden patterns in the data is in this morning So
lonesome underlying head in presence in the given data That's
what we tried to look in using on super the
learning techniques So some of the examples clustering k means
our Haider cheol R D V scan Okay some of
the dimensionality reduction techniques places PCs affect analysis and then

English: 
no feature feature Engineering of course featured injuring Also you
can use like PC of our feature engineering So and
then no or density estimation Easing like device can sort
of thing or any other statistical methods so that sport
predominantly likes a bird's eye view of super answer pricing
learning we head and when it comes to deal if
a problem is not falling under in our surprised around
supers in learning okay you're not basically able to get
some more data of friend which can be easily handled
Okay which is next Combinations of President answer poet Say
for example I want to hit a target Okay that
is like say a very ambiguous statement Because when I
actually take off due to weather conditions my direction will

English: 
no feature feature Engineering of course featured injuring Also you
can use like PC of our feature engineering So and
then no or density estimation Easing like device can sort
of thing or any other statistical methods so that sport
predominantly likes a bird's eye view of super answer pricing
learning we head and when it comes to deal if
a problem is not falling under in our surprised around
supers in learning okay you're not basically able to get
some more data of friend which can be easily handled
Okay which is next Combinations of President answer poet Say
for example I want to hit a target Okay that
is like say a very ambiguous statement Because when I
actually take off due to weather conditions my direction will

English: 
be changed My instrument direction Maybe that award is a
European water It is that direction will be changed due
to some external factors But I had to hit the
target That means when I actually trained the model the
coordinates are likes If the information what system had was
different compared to know when it is in the air
That means if the flight should be able to take
the decisions on its own looking at the external factors
but finally reached the target If you actually listen to
some of these various by or days a r IAAF
personnel we fix the coordinate and we sent it and
it did the rest of the world That's what they
told Look at it Targeted sixth And like say missile

English: 
be changed My instrument direction Maybe that award is a
European water It is that direction will be changed due
to some external factors But I had to hit the
target That means when I actually trained the model the
coordinates are likes If the information what system had was
different compared to know when it is in the air
That means if the flight should be able to take
the decisions on its own looking at the external factors
but finally reached the target If you actually listen to
some of these various by or days a r IAAF
personnel we fix the coordinate and we sent it and
it did the rest of the world That's what they
told Look at it Targeted sixth And like say missile

English: 
is fired like incorporating all external factors Indignant Mr Target
the other day actually mentioned was humid us single digit
few metres Therefore the mentioned okay that means the problems
which actually how to incorporate that latest external factors Those
of the problems where are all can be very good
Your regular so parade and super they're learning will not
be so effective in the scenarios rate So more general
then Sir President and surprise Aloni Okay this problems like
the reinforcement learning problems will be actually hearing this the
following tunnel again and again There will be something called
agent There will be something called environment There will be
something called reward Okay Environment is like sea of our
external factors isn't is European Okay action go straight or

English: 
is fired like incorporating all external factors Indignant Mr Target
the other day actually mentioned was humid us single digit
few metres Therefore the mentioned okay that means the problems
which actually how to incorporate that latest external factors Those
of the problems where are all can be very good
Your regular so parade and super they're learning will not
be so effective in the scenarios rate So more general
then Sir President and surprise Aloni Okay this problems like
the reinforcement learning problems will be actually hearing this the
following tunnel again and again There will be something called
agent There will be something called environment There will be
something called reward Okay Environment is like sea of our
external factors isn't is European Okay action go straight or

English: 
takes light Left are slight rate Okay Based on wind
or whatever it is Okay So infrequent interest There will
be communication infrequent in traverse It actually starts calculating with
what Action to take left right site are good if
rate So you have like safer environment Weather Okay Your
flight 100 isil It takes action when it takes actions
in the given environment that flight coordinates are different Now
You look at the target on billed under Know your
corners are different That Mr Data has changed Your state
has changed UN mentors Agent Agent State had changed know
based on the state again how to basically take the
next action ahead makes in ST So this act this

English: 
takes light Left are slight rate Okay Based on wind
or whatever it is Okay So infrequent interest There will
be communication infrequent in traverse It actually starts calculating with
what Action to take left right site are good if
rate So you have like safer environment Weather Okay Your
flight 100 isil It takes action when it takes actions
in the given environment that flight coordinates are different Now
You look at the target on billed under Know your
corners are different That Mr Data has changed Your state
has changed UN mentors Agent Agent State had changed know
based on the state again how to basically take the
next action ahead makes in ST So this act this

English: 
reputation will be continuous continuous till we reach the target
Now there is this one How we actually save my
action is correct or not Water action I have taken
is correct or not There will be some sort of
reward associated to that Some reward associated to the say
for example is actually moved in the positive direction Whatever
is expected Okay I'll give you one point Okay Do
to like say someone tried to intercept you So yeah
I selected the Alexis slightly deviated direction Noel give you
minus one point as reward I penalised you that miss
Know what are the action He had taken that into
the engine of straight You have taken right That action
is not a correct one To reach the target to
reach the target here To go straight right now is
is electric going straight are going left going rate those

English: 
reputation will be continuous continuous till we reach the target
Now there is this one How we actually save my
action is correct or not Water action I have taken
is correct or not There will be some sort of
reward associated to that Some reward associated to the say
for example is actually moved in the positive direction Whatever
is expected Okay I'll give you one point Okay Do
to like say someone tried to intercept you So yeah
I selected the Alexis slightly deviated direction Noel give you
minus one point as reward I penalised you that miss
Know what are the action He had taken that into
the engine of straight You have taken right That action
is not a correct one To reach the target to
reach the target here To go straight right now is
is electric going straight are going left going rate those

English: 
of the actions were taking Those actions are actually leading
it to some reward Rewarding the senseless Yes you're closer
to the target or not If you're not closer to
the target because of our action you're going away from
the target That means the action is taken is around
action It should be finalised lessons So that's what On
Alexa boards of you what reinforcement learning is to solve
this problem Know people actually came up with a lot
of algorithms so prominently R l is the science of
different making And this is there like say people are
actually running behind it Automated decision making for Violet is
not sitting in this one Your system is making the
decisions and it is not missing the target That to
the power supervision learning If there are outliers Al Qaeda

English: 
of the actions were taking Those actions are actually leading
it to some reward Rewarding the senseless Yes you're closer
to the target or not If you're not closer to
the target because of our action you're going away from
the target That means the action is taken is around
action It should be finalised lessons So that's what On
Alexa boards of you what reinforcement learning is to solve
this problem Know people actually came up with a lot
of algorithms so prominently R l is the science of
different making And this is there like say people are
actually running behind it Automated decision making for Violet is
not sitting in this one Your system is making the
decisions and it is not missing the target That to
the power supervision learning If there are outliers Al Qaeda

English: 
will go for us near human service Reason offers to
capture the rate bill That is slightly a challenging of
question to answer Okay the data itself we have to
create Okay So you some examples after that then I
will take up that question again Okay So how do
I collect data and what What is the volume of
the Reiter needed to solve this problem That is for
his question Is the example Okay Have two examples No
one other simplest thing One of the simplest examples like
say we actually or live with Levitan and innocence likes
if we actually have a lot of animals around us
on many of those animals are our friends say for
example like many people have dog as their pit Okay

English: 
will go for us near human service Reason offers to
capture the rate bill That is slightly a challenging of
question to answer Okay the data itself we have to
create Okay So you some examples after that then I
will take up that question again Okay So how do
I collect data and what What is the volume of
the Reiter needed to solve this problem That is for
his question Is the example Okay Have two examples No
one other simplest thing One of the simplest examples like
say we actually or live with Levitan and innocence likes
if we actually have a lot of animals around us
on many of those animals are our friends say for
example like many people have dog as their pit Okay

English: 
say for example I have cattle at my village home
Okay if my sister calls that by fellow council if
I call that actually comes to hit me And it
is very difficult Like set to understand Know Like say
hope The buffalo understands human language is very difficult rate
But that's what exactly is happening now What is the
logic behind it No Let us take a simple example
Okay Let us actually try to teach something to the
dog to do Okay So consider a scenario where you
want to date something for a doctor Do say for
example what normally this trainers do They actually tried to
create some noise are clear Some action hand signs Okay
Based on that hand side if doctors the favourable action
What the trainer wants dog will be officiated by either

English: 
say for example I have cattle at my village home
Okay if my sister calls that by fellow council if
I call that actually comes to hit me And it
is very difficult Like set to understand Know Like say
hope The buffalo understands human language is very difficult rate
But that's what exactly is happening now What is the
logic behind it No Let us take a simple example
Okay Let us actually try to teach something to the
dog to do Okay So consider a scenario where you
want to date something for a doctor Do say for
example what normally this trainers do They actually tried to
create some noise are clear Some action hand signs Okay
Based on that hand side if doctors the favourable action
What the trainer wants dog will be officiated by either

English: 
a biscuit or a so then next time when China
actually does the same Likes a hand sign our releases
some nice now Dad Like say it tries to do
something else And it is not getting the biscuit so
again it actually goes Okay I did that I did
previous action or on when I actually got the biscuit
Let me try to do that one Get biscuit trust
actually Repeat the world action Very Inter actually got the
biscuit Okay now it got the biscuit So now it
has the memory When no there is hand sign of
like lifting the hand If I do this one will
get biscuit getting this Katie's reward Not getting biscuit is

English: 
a biscuit or a so then next time when China
actually does the same Likes a hand sign our releases
some nice now Dad Like say it tries to do
something else And it is not getting the biscuit so
again it actually goes Okay I did that I did
previous action or on when I actually got the biscuit
Let me try to do that one Get biscuit trust
actually Repeat the world action Very Inter actually got the
biscuit Okay now it got the biscuit So now it
has the memory When no there is hand sign of
like lifting the hand If I do this one will
get biscuit getting this Katie's reward Not getting biscuit is

English: 
punishment Action Yeah So awful Actions can be lock It
can be continuous place as well When you take the
this flight scenario it can actually take the rotation in
continuous manner Why only three Siegrist It can be actually
one degree by 100 as well 800 or fraction as
well So yes you can have lot of actions but
in this particular one Okay Say for example You lift
the hand you're a trainer Relieved the hand Expect Doc
to get up Okay Actually have put down your hand
we expect Dr Sit down There are only two accents
One day's exit dog has to get up It has
to sit down and say for example charred action When
you actually throw some ball from your hand he expect
Dr Jump production after when it actually jumps He officiated
with biscuit If it doesn't jump you don't appreciate it

English: 
punishment Action Yeah So awful Actions can be lock It
can be continuous place as well When you take the
this flight scenario it can actually take the rotation in
continuous manner Why only three Siegrist It can be actually
one degree by 100 as well 800 or fraction as
well So yes you can have lot of actions but
in this particular one Okay Say for example You lift
the hand you're a trainer Relieved the hand Expect Doc
to get up Okay Actually have put down your hand
we expect Dr Sit down There are only two accents
One day's exit dog has to get up It has
to sit down and say for example charred action When
you actually throw some ball from your hand he expect
Dr Jump production after when it actually jumps He officiated
with biscuit If it doesn't jump you don't appreciate it

English: 
So you are increasing No action space are now when
you actually take the stick it no slice they are
going to hit are they are going to punish it
So that is negative thing for that So when you
take the stick it will be very obedient When er
it was evident when you took the stick it did
not get that much punishment That's pretty actually starts acting
as obedient mix ins Know all these things those they
look qualitative but they are all quantitative We can actually
make all these things as observable entities current getting into
the dog Example letter actually trying to quantify quantifying lessons
Let us try to get some sort of logic What
exactly is happening How reinforcement learning works in broader sense

English: 
So you are increasing No action space are now when
you actually take the stick it no slice they are
going to hit are they are going to punish it
So that is negative thing for that So when you
take the stick it will be very obedient When er
it was evident when you took the stick it did
not get that much punishment That's pretty actually starts acting
as obedient mix ins Know all these things those they
look qualitative but they are all quantitative We can actually
make all these things as observable entities current getting into
the dog Example letter actually trying to quantify quantifying lessons
Let us try to get some sort of logic What
exactly is happening How reinforcement learning works in broader sense

English: 
For example your dog is agent okay That is responding
to the or that is exposed to the environment Okay
The environment could be your house Are your lawn No
Doucet chases the encounter or another Augusta State You are
in the environment and you're standing That is one state
standing with our folded the hands folded the over to
the hands and kept it in the back of your
body That's four status Okay When you do this fund
dock girls actually comes and stands in front of you
If you observe trainer actually rises his hand It is
a fleeting saying that change in the environment change in
the new government State changed Yes As a greedy person
Okay When I actually tried to programme I want actually
capture all the movements when I lift the hand in

English: 
For example your dog is agent okay That is responding
to the or that is exposed to the environment Okay
The environment could be your house Are your lawn No
Doucet chases the encounter or another Augusta State You are
in the environment and you're standing That is one state
standing with our folded the hands folded the over to
the hands and kept it in the back of your
body That's four status Okay When you do this fund
dock girls actually comes and stands in front of you
If you observe trainer actually rises his hand It is
a fleeting saying that change in the environment change in
the new government State changed Yes As a greedy person
Okay When I actually tried to programme I want actually
capture all the movements when I lift the hand in

English: 
the all these things are important are like keeping my
hand in the back of my body and rising my
hand and sewing this one Okay There are only two
actions Discreet actions for a discreet states this tour enough
or I won't actually capture everything as a greedy person
As a greedy data scientist I want to capture everything
But for example this is one state and this is
on the state Okay so my person is my state
changes The agent actually starts acting so or agent we
expect for forming an action to the change in the
state exchange in the state in the environment Trainer actually
gave the signal south of the hand signal Whatever it
is that if the change in the state okay then
your agent the dog is performing some action on the
taxes based on that Like say he expected the dark

English: 
the all these things are important are like keeping my
hand in the back of my body and rising my
hand and sewing this one Okay There are only two
actions Discreet actions for a discreet states this tour enough
or I won't actually capture everything as a greedy person
As a greedy data scientist I want to capture everything
But for example this is one state and this is
on the state Okay so my person is my state
changes The agent actually starts acting so or agent we
expect for forming an action to the change in the
state exchange in the state in the environment Trainer actually
gave the signal south of the hand signal Whatever it
is that if the change in the state okay then
your agent the dog is performing some action on the
taxes based on that Like say he expected the dark

English: 
to get up It got up on the other trainer
eager the biscuit Okay you've giving the biscuit and dock
Taking the biscuit is likely dog receiving The reward isn't
receiving the revolt so far Every state followed by action
There is a reward whether the provided zero minus one
place phone getting punishment getting food note like say you
don't actually do any reward It'll not giving any reward
also is reward zero So after the transition they may
receive a reward or finality Once it actually takes the
biscuit youth rather biscuit and nor docks takes the biscuit
Okay now again he Hollis a change in the environment
The change in the environment is new state So from

English: 
to get up It got up on the other trainer
eager the biscuit Okay you've giving the biscuit and dock
Taking the biscuit is likely dog receiving The reward isn't
receiving the revolt so far Every state followed by action
There is a reward whether the provided zero minus one
place phone getting punishment getting food note like say you
don't actually do any reward It'll not giving any reward
also is reward zero So after the transition they may
receive a reward or finality Once it actually takes the
biscuit youth rather biscuit and nor docks takes the biscuit
Okay now again he Hollis a change in the environment
The change in the environment is new state So from

English: 
previous state from figure state I actually now come a
came to the another state It could be my pre
vested where I stood keeping my hands in my back
Or it could be like say lifting my left friend
So the states will be changing continuously based on the
state There will be actions based on the actions there
will be re warts reverts to the agent actions by
agent environment because of those actions and rewards environment changes
environment changes innocence The states in the environment changes Great
So it is a continuous process Still you expect the
Asian to complete the toss What you wanted Mixon straight
know if asi it looked at tie example but it
actually for factory Maxine's Now we can generalise this topic

English: 
previous state from figure state I actually now come a
came to the another state It could be my pre
vested where I stood keeping my hands in my back
Or it could be like say lifting my left friend
So the states will be changing continuously based on the
state There will be actions based on the actions there
will be re warts reverts to the agent actions by
agent environment because of those actions and rewards environment changes
environment changes innocence The states in the environment changes Great
So it is a continuous process Still you expect the
Asian to complete the toss What you wanted Mixon straight
know if asi it looked at tie example but it
actually for factory Maxine's Now we can generalise this topic

English: 
and insect We are all alike say tune to do
reinforcement running in our life But we don't programme percent
reinforcement Learning with hand I mean computer programming we might
not have not done we might not have not done
but we all are tuned to do this activity Okay
The policy This is under term Dr which you will
be hearing again and again The policy in the enforcement
learning is the following the policy the strategy of choosing
an action based on the state Okay policies Susan by
Asian And then if this policy's optimal policy at the
best policy that policy is referred as optimal policy for
a given state This is the best action Okay Forgiven
state This is the best action One of the simplest
example says you're on a highway and no vehicles are

English: 
and insect We are all alike say tune to do
reinforcement running in our life But we don't programme percent
reinforcement Learning with hand I mean computer programming we might
not have not done we might not have not done
but we all are tuned to do this activity Okay
The policy This is under term Dr which you will
be hearing again and again The policy in the enforcement
learning is the following the policy the strategy of choosing
an action based on the state Okay policies Susan by
Asian And then if this policy's optimal policy at the
best policy that policy is referred as optimal policy for
a given state This is the best action Okay Forgiven
state This is the best action One of the simplest
example says you're on a highway and no vehicles are

English: 
in our inside and they are like say are driving
looking at that scenario most of the time actually increasing
Withdraw Like say you accelerate of speed the desert thing
Like what we have actually experienced in our life No
one says as like save Okay No we go by
like 1 20 are 11 50 or system is tuned
to the socket This is the environment Let me actually
take this action We can decide this particular action led
me into a lot of benefit in the first Let
me take that action for this like state That spot
is your policy action State action pair Easier policy The
State Action Fair which is the best state action film
I mean best action for a given state is optimal
policy Okay on once you train your system this is

English: 
in our inside and they are like say are driving
looking at that scenario most of the time actually increasing
Withdraw Like say you accelerate of speed the desert thing
Like what we have actually experienced in our life No
one says as like save Okay No we go by
like 1 20 are 11 50 or system is tuned
to the socket This is the environment Let me actually
take this action We can decide this particular action led
me into a lot of benefit in the first Let
me take that action for this like state That spot
is your policy action State action pair Easier policy The
State Action Fair which is the best state action film
I mean best action for a given state is optimal
policy Okay on once you train your system this is

English: 
the beauty Once you train your system at the end
what he actually store what is a automated system is
list of all eligible actions and their respective released of
all eligible states followed by elections It it could be
like the one million states it could be one million
states and one billion likes a number of actions could
be just 100 but the 100 actions are linked to
for its death Say for example important series Minister That's
the deal comes into picture Okay when you have a
continuous phase Howdy Approximate Okay will touch with the point
tomorrow Assumed that we have all states listed possible All
possible states are listed Okay so So let me actually

English: 
the beauty Once you train your system at the end
what he actually store what is a automated system is
list of all eligible actions and their respective released of
all eligible states followed by elections It it could be
like the one million states it could be one million
states and one billion likes a number of actions could
be just 100 but the 100 actions are linked to
for its death Say for example important series Minister That's
the deal comes into picture Okay when you have a
continuous phase Howdy Approximate Okay will touch with the point
tomorrow Assumed that we have all states listed possible All
possible states are listed Okay so So let me actually

English: 
say this is all States state one till State 100
Okay these under all states I can actually think of
or less a so casing in front of my agent
which is Doc example would have like Warren saying is
taken our state Exactly Okay So if some state is
not experienced in the system when you train okay when
in real life and your actual experience you're getting negative
reward and the name of the Al Gore misery in
force Okay this is the new state And when I
actually do some action on top of this new steps
I'm actually getting the negative reward Let me not repeat
the same action what I did for the new state

English: 
say this is all States state one till State 100
Okay these under all states I can actually think of
or less a so casing in front of my agent
which is Doc example would have like Warren saying is
taken our state Exactly Okay So if some state is
not experienced in the system when you train okay when
in real life and your actual experience you're getting negative
reward and the name of the Al Gore misery in
force Okay this is the new state And when I
actually do some action on top of this new steps
I'm actually getting the negative reward Let me not repeat
the same action what I did for the new state

English: 
because my experience is bad But first um and actually
do that action for the new state I am getting
affected I had to live with that There is no
scope Okay And another thing what do you actually can
get the or like Similarity is the new state whether
it is close to one of these 100 states maybe
disclose to ST 50 This is New State It is
close to ST 50 Let me take the top Come
Election you're trusting is coming in the picture Okay And
in fact this is what I'd actually implemented in finance
because financed you cannot You cannot see all the states
so approximate states and then based under to basically take
the action So I have like sisters 1 200 No

English: 
because my experience is bad But first um and actually
do that action for the new state I am getting
affected I had to live with that There is no
scope Okay And another thing what do you actually can
get the or like Similarity is the new state whether
it is close to one of these 100 states maybe
disclose to ST 50 This is New State It is
close to ST 50 Let me take the top Come
Election you're trusting is coming in the picture Okay And
in fact this is what I'd actually implemented in finance
because financed you cannot You cannot see all the states
so approximate states and then based under to basically take
the action So I have like sisters 1 200 No

English: 
for state 1 200 Let Mrs for the dog hand
lift This is that comes on the state state One
dog jumped This is one action and first aid to
publish sits on erection Okay And these are actions this
need not be optimal actions Right So two once the
train your system on the period of time Okay for
the state one probably working to next point is the
best action So over the period of time the actually

English: 
for state 1 200 Let Mrs for the dog hand
lift This is that comes on the state state One
dog jumped This is one action and first aid to
publish sits on erection Okay And these are actions this
need not be optimal actions Right So two once the
train your system on the period of time Okay for
the state one probably working to next point is the
best action So over the period of time the actually

English: 
start repeating these actions alone your system and then come
up with a list of for optimal actions not list
of afternoon action each state mapped with one optimal action
Now the output of reinforcement learning Once you train your
system you have your problem We have a problem on
the train using our l Okay now he said like
how your output the output is going to be just
like say of C S F L With two columns
with two columns Those columns are nothing worth states after

English: 
start repeating these actions alone your system and then come
up with a list of for optimal actions not list
of afternoon action each state mapped with one optimal action
Now the output of reinforcement learning Once you train your
system you have your problem We have a problem on
the train using our l Okay now he said like
how your output the output is going to be just
like say of C S F L With two columns
with two columns Those columns are nothing worth states after

English: 
elections that's it And this will be around put from
the system the better optimal action cigarette the better system
it will be state It is only one like one
state can have only one of them Elections So January
on highway whether air nearby Bangalore are nearby Hyderabad if
like say highways clear And it is a six lane
the actual accelerate that is different state But actual racing
is common action Whether it is Bengal nearby Bangalore nearby
Hyderabad Red So different states but same action because you're
the states are very similar to each other excluding the

English: 
elections that's it And this will be around put from
the system the better optimal action cigarette the better system
it will be state It is only one like one
state can have only one of them Elections So January
on highway whether air nearby Bangalore are nearby Hyderabad if
like say highways clear And it is a six lane
the actual accelerate that is different state But actual racing
is common action Whether it is Bengal nearby Bangalore nearby
Hyderabad Red So different states but same action because you're
the states are very similar to each other excluding the

English: 
geographic location So action and needs to be changed So
this has changed in religious change Something has happened Optimal
action needs to be changed The more the Mission Muhammad
state are you would need to in the afternoon in
production How do we use it No I can edit
this state Become a similar to each other is day
both I have come election but your state of states
are different There were a lot of states you have
a lot of states on Each state is associated with
an after um election rate Say for example your lion
on other for like for like animal like they are
very similar But the actions actually for form when you

English: 
geographic location So action and needs to be changed So
this has changed in religious change Something has happened Optimal
action needs to be changed The more the Mission Muhammad
state are you would need to in the afternoon in
production How do we use it No I can edit
this state Become a similar to each other is day
both I have come election but your state of states
are different There were a lot of states you have
a lot of states on Each state is associated with
an after um election rate Say for example your lion
on other for like for like animal like they are
very similar But the actions actually for form when you

English: 
are in the environment are different Yeah exactly Because when
you actually to the same action when carries around assessment
in our line is our own The word is different
So the spot know in the production how we actually
do it So we have let me say this video
streaming Okay we have your video streaming on ice A
sitting that video Okay No every one second or every
500 milliseconds Yeah actually captured the scenario He actually captured
the state Okay continuous stream We are discussing it Okay
on your discrediting to the extent that your system can

English: 
are in the environment are different Yeah exactly Because when
you actually to the same action when carries around assessment
in our line is our own The word is different
So the spot know in the production how we actually
do it So we have let me say this video
streaming Okay we have your video streaming on ice A
sitting that video Okay No every one second or every
500 milliseconds Yeah actually captured the scenario He actually captured
the state Okay continuous stream We are discussing it Okay
on your discrediting to the extent that your system can

English: 
actually react right So new state this new state now
we actually see like map to your existing one where
that state actually belongs to take that off term election
action Okay And since you for found this action say
you're on highways only for formed action of like say
accelerating metal more We we are actually reaching the end
of the coast End of the curve in the road
No you're stated changing So after that you're getting again
New state nor sins likes In few metres of few
100 metres ahead there is a cow the optimal action
when Ari how this scenario is slowing down with So

English: 
actually react right So new state this new state now
we actually see like map to your existing one where
that state actually belongs to take that off term election
action Okay And since you for found this action say
you're on highways only for formed action of like say
accelerating metal more We we are actually reaching the end
of the coast End of the curve in the road
No you're stated changing So after that you're getting again
New state nor sins likes In few metres of few
100 metres ahead there is a cow the optimal action
when Ari how this scenario is slowing down with So

English: 
look it again This one Okay take the action The
faster we make the system the better it is under
Say when you look at self driving cars they say
if you go beyond 60 kilometres my scar will not
be able to function properly Changing so one action having
the result rewarded are depends on the few just state
that is our new tourist Don't know Therefore Q learning
for instance opponent going district and starting from there this
every time I have there will be no revolved for
this is left or right where I should both if
I take night than it is like I should in
I completely agree on this scenario You always have in
chest say for example any game game winning is the

English: 
look it again This one Okay take the action The
faster we make the system the better it is under
Say when you look at self driving cars they say
if you go beyond 60 kilometres my scar will not
be able to function properly Changing so one action having
the result rewarded are depends on the few just state
that is our new tourist Don't know Therefore Q learning
for instance opponent going district and starting from there this
every time I have there will be no revolved for
this is left or right where I should both if
I take night than it is like I should in
I completely agree on this scenario You always have in
chest say for example any game game winning is the

English: 
reward Okay to win the game trap the trapping temporal
It looks like negative one rate So yes long term
win in the target and then short term loss is
negative reward Okay How to keep this know Marie That's
very have like secu learning advanced on Sasha Okay This
is actually part of the training of the reinforcement learning
system Okay when he use it he already trained on
the actually thought that Okay at 9 30 when you
come out of the house okay irrespective of what reward
will get the actually style should go straight Though you're
visiting and work it is and you're behind because your
office is 10 kilometres away from you Initially a achillesheel
like oh they are taking some long roots And now

English: 
reward Okay to win the game trap the trapping temporal
It looks like negative one rate So yes long term
win in the target and then short term loss is
negative reward Okay How to keep this know Marie That's
very have like secu learning advanced on Sasha Okay This
is actually part of the training of the reinforcement learning
system Okay when he use it he already trained on
the actually thought that Okay at 9 30 when you
come out of the house okay irrespective of what reward
will get the actually style should go straight Though you're
visiting and work it is and you're behind because your
office is 10 kilometres away from you Initially a achillesheel
like oh they are taking some long roots And now

English: 
he start Achilles suggesting that we cannot take This is
sort cut routes after 23 trails When you take the
next calf automatically get suggested You don't need to tell
the driver after that The reward The reward here is
less fuel expense less fuel consumption on shorter time to
reach the destination That is a reward for them System
is getting trained in the back So long term target
should be always kept as like say or in the
view on the long term Like when I said reward
it's not actually one reverts He correctly pointed out that
rewards will be accumulated in the following way When when
I actually look at Revert only in the next moment
That's referred as greedy algorithm when I shall look at

English: 
he start Achilles suggesting that we cannot take This is
sort cut routes after 23 trails When you take the
next calf automatically get suggested You don't need to tell
the driver after that The reward The reward here is
less fuel expense less fuel consumption on shorter time to
reach the destination That is a reward for them System
is getting trained in the back So long term target
should be always kept as like say or in the
view on the long term Like when I said reward
it's not actually one reverts He correctly pointed out that
rewards will be accumulated in the following way When when
I actually look at Revert only in the next moment
That's referred as greedy algorithm when I shall look at

English: 
long term reward that refers keeping in the memory We're
setting the trap on winning the game So the present
reward present award actually will be reward starting all I
say Say I acosta two Maybe I am actually going
to have all excess of 100 times steps from now
One words into the future Okay And then it is
not exactly with the equal preparation my present award I
need to give a little more higher rate than feature
award rate So actually put some more are like lorne
ing And when I go to the two time steps
from now this learning parameters should get depreciated So learning

English: 
long term reward that refers keeping in the memory We're
setting the trap on winning the game So the present
reward present award actually will be reward starting all I
say Say I acosta two Maybe I am actually going
to have all excess of 100 times steps from now
One words into the future Okay And then it is
not exactly with the equal preparation my present award I
need to give a little more higher rate than feature
award rate So actually put some more are like lorne
ing And when I go to the two time steps
from now this learning parameters should get depreciated So learning

English: 
parameters less than one and then allegedly tried to put
something like say or so since learning parameter is less
than one And when you actually get into two defenders
of features that manners from much importance But we are
strengthening of some importance Now you can play with these
things and are so we actually get the memory into
the system training So your actions are not instantaneous Your
actions of looking well I say feature reward also into
the actions are actually taking your future rewards also into
the consideration mix ins This is what they were asking
So how do we actually play with this one You
actually have come across this point in our A boost
as well as in grade in boosting learning parameters and
in deep learning licence you have been living with it

English: 
parameters less than one and then allegedly tried to put
something like say or so since learning parameter is less
than one And when you actually get into two defenders
of features that manners from much importance But we are
strengthening of some importance Now you can play with these
things and are so we actually get the memory into
the system training So your actions are not instantaneous Your
actions of looking well I say feature reward also into
the actions are actually taking your future rewards also into
the consideration mix ins This is what they were asking
So how do we actually play with this one You
actually have come across this point in our A boost
as well as in grade in boosting learning parameters and
in deep learning licence you have been living with it

English: 
currently Now so far are be fine We are able
to get like say the enforcement learning is nothing but
like say looking at the state and taking the action
And they are getting rewarded for the front And what
The period of time What are the optimal actions for
the given state Okay that's what we have to figure
out on output of reinforcement Learning is going to be
this just the table Okay On this missile it will
be just this year Stable implemented So like system to
work There will be various streaming coming in New state
identified a pro Nash has taken It will be continuous
How first you can react That is nothing But they
are accuracy Some people say like say I can react
in one microsecond two microseconds Then you can hit our

English: 
currently Now so far are be fine We are able
to get like say the enforcement learning is nothing but
like say looking at the state and taking the action
And they are getting rewarded for the front And what
The period of time What are the optimal actions for
the given state Okay that's what we have to figure
out on output of reinforcement Learning is going to be
this just the table Okay On this missile it will
be just this year Stable implemented So like system to
work There will be various streaming coming in New state
identified a pro Nash has taken It will be continuous
How first you can react That is nothing But they
are accuracy Some people say like say I can react
in one microsecond two microseconds Then you can hit our

English: 
get even even before the others realise it way the
with on Like I I am looking at no self
driving car in self driving cars And how the following
in self drinker Have a camera in front of the
Lexie car Concha Mira It is taking the pictures How
frequently wanted a fixes Maybe every 100 milliseconds Livestreaming though
we call it is live streaming for marketing purposes It's
actually frames how many frames we want to have been
given One second lettuces $100 frames frame one latest frame
This frame is expending me my state rate This frame

English: 
get even even before the others realise it way the
with on Like I I am looking at no self
driving car in self driving cars And how the following
in self drinker Have a camera in front of the
Lexie car Concha Mira It is taking the pictures How
frequently wanted a fixes Maybe every 100 milliseconds Livestreaming though
we call it is live streaming for marketing purposes It's
actually frames how many frames we want to have been
given One second lettuces $100 frames frame one latest frame
This frame is expending me my state rate This frame

English: 
is nothing but state where I am in No on
this train he hot associate with other quantities as well
right the speed at which you're actually at present You're
driving on other external factors probably or when actually write
my scudi My son says Daddy Some cycle Walla is
going faster than you normally cannot write faster But others
like they may go at 1 21 1 50 on
their bike of the his Each film can have only
once that because this this frame using your clustering there
saying this premise emitters also states a grievous me Can
we have another and can have on the official proving
car will have like a lot of letter to French

English: 
is nothing but state where I am in No on
this train he hot associate with other quantities as well
right the speed at which you're actually at present You're
driving on other external factors probably or when actually write
my scudi My son says Daddy Some cycle Walla is
going faster than you normally cannot write faster But others
like they may go at 1 21 1 50 on
their bike of the his Each film can have only
once that because this this frame using your clustering there
saying this premise emitters also states a grievous me Can
we have another and can have on the official proving
car will have like a lot of letter to French

English: 
Google spent several hundreds of man years to build this
one self driving car at Google spent several hundreds of
menus We actually simulate all these things and still be
here like recently self driving car hitting human on the
road because that particular scenario was not captured earlier So
you have the frame and also associated the attributes All
these things is new State This new state is one
of the states in your C S V file Then
take action Okay Once you take this action it is
leading to the next frame That's it is an iterative

English: 
Google spent several hundreds of man years to build this
one self driving car at Google spent several hundreds of
menus We actually simulate all these things and still be
here like recently self driving car hitting human on the
road because that particular scenario was not captured earlier So
you have the frame and also associated the attributes All
these things is new State This new state is one
of the states in your C S V file Then
take action Okay Once you take this action it is
leading to the next frame That's it is an iterative

English: 
process Training will never take place in a client place
Training will never take place in like Okay The person
who sold you that self driving instrument they have trained
with enough for scenarios and they have given you And
if they want to train with the new scenarios that
what they say we are giving you updates We are
giving you updates They are adding more scenarios It will
be like say very limited data in it you know
like say What is the scenario in front of you
Are there any objects If it'll there are any objects
How For the objectives from your present location You can
detect the one right when flight is actually going in
Air is able to tell I say how Like what
It The altitude it is of flying it is able
to detect it actually tell See Like says it is
coordinates rates You basically from your flight is in the

English: 
process Training will never take place in a client place
Training will never take place in like Okay The person
who sold you that self driving instrument they have trained
with enough for scenarios and they have given you And
if they want to train with the new scenarios that
what they say we are giving you updates We are
giving you updates They are adding more scenarios It will
be like say very limited data in it you know
like say What is the scenario in front of you
Are there any objects If it'll there are any objects
How For the objectives from your present location You can
detect the one right when flight is actually going in
Air is able to tell I say how Like what
It The altitude it is of flying it is able
to detect it actually tell See Like says it is
coordinates rates You basically from your flight is in the

English: 
signal and like say that the sound signal Okay How
fast it actually goes on Council back That is Al
Gore is um basically to detect the saw distance And
they're so flights like the pilots are able to to
like say we are actually cruising 11,000 or kilometres System
action should get all these things Otherwise what happens is
the date of what we have is not fully or
like say defending the state The people agree with me
or not less is yes We thought sale I say
how for ahead of for some particular objectives from me
if I am not able to detect that one I
actually end of it An accident at some time This
is it differently in allies in a useful letter to
help as an attribute And we have been saying like
This is what is available We just have to capture
and use it Once he had all this one we're
doing actions That action is leading to you to the
next eight that next year again includes frame and attributes

English: 
signal and like say that the sound signal Okay How
fast it actually goes on Council back That is Al
Gore is um basically to detect the saw distance And
they're so flights like the pilots are able to to
like say we are actually cruising 11,000 or kilometres System
action should get all these things Otherwise what happens is
the date of what we have is not fully or
like say defending the state The people agree with me
or not less is yes We thought sale I say
how for ahead of for some particular objectives from me
if I am not able to detect that one I
actually end of it An accident at some time This
is it differently in allies in a useful letter to
help as an attribute And we have been saying like
This is what is available We just have to capture
and use it Once he had all this one we're
doing actions That action is leading to you to the
next eight that next year again includes frame and attributes

English: 
abuses more discipline into other models How we will new
data and creating belief Is it deployed Exactly It is
the same But if you actually look at it there
is a significant difference between your surprising learning on special
learning on the enforcement Learning the target in nervous surprise
A learning target is sixth Sure your target is actually
evolving I want to come from what is a Hyderabad
to Bangalore My target is short term like say every
100 metres like see whether there is any up cycle
Reach the 100 metres again evaluated Red target is evolving
Um so there is a significant difference between your are
a newer s l and you were like say on
so far you're loaning Clustering is actually coming as part

English: 
abuses more discipline into other models How we will new
data and creating belief Is it deployed Exactly It is
the same But if you actually look at it there
is a significant difference between your surprising learning on special
learning on the enforcement Learning the target in nervous surprise
A learning target is sixth Sure your target is actually
evolving I want to come from what is a Hyderabad
to Bangalore My target is short term like say every
100 metres like see whether there is any up cycle
Reach the 100 metres again evaluated Red target is evolving
Um so there is a significant difference between your are
a newer s l and you were like say on
so far you're loaning Clustering is actually coming as part

English: 
of the state aggregation the have rain A moral visit
Mr Words from the ability Marla Snot Any news Radio
industries But still it is our wedding Our classes where
moral has not seen Yes Then also we have to
give you know even in our nationally scenarios do you
collect harmony Sets the same differently Train test and deployment
has to be there Okay Tryin test here Like said
test I mean to say you have a self driving
car you put it in the ground and they actually
try to create create hurdles and see how it reacts
the test environment there So he create the data because
this association think these things are being sold and very
bad they all many Mississippi think that it is order

English: 
of the state aggregation the have rain A moral visit
Mr Words from the ability Marla Snot Any news Radio
industries But still it is our wedding Our classes where
moral has not seen Yes Then also we have to
give you know even in our nationally scenarios do you
collect harmony Sets the same differently Train test and deployment
has to be there Okay Tryin test here Like said
test I mean to say you have a self driving
car you put it in the ground and they actually
try to create create hurdles and see how it reacts
the test environment there So he create the data because
this association think these things are being sold and very
bad they all many Mississippi think that it is order

English: 
order Not only are even machinery in this thing is
I completely agree So here's the thing is when you
actually explained to anyone this self driving car it is
a strong or centres made red when Google actually and
also these things Self driving cars are not suitable to
Indian roads right Self rowing Cust They are not suitable
to Indian roads Main reason is like say for example
the lane discipline These things are violated very frequently exactly
So they may be actually of always a roaming around
freely when that sort of scenarios are not part of
your training Later the new system doesn't know what to
do He met with an accident in that case So
the valley is something is not really It is a
marketing term We are evolving The better you actually say
Like minor is a very good system with a lot
of conference If you are able to tell you can
sell it for a few $1,000,000 Instance we talked about

English: 
order Not only are even machinery in this thing is
I completely agree So here's the thing is when you
actually explained to anyone this self driving car it is
a strong or centres made red when Google actually and
also these things Self driving cars are not suitable to
Indian roads right Self rowing Cust They are not suitable
to Indian roads Main reason is like say for example
the lane discipline These things are violated very frequently exactly
So they may be actually of always a roaming around
freely when that sort of scenarios are not part of
your training Later the new system doesn't know what to
do He met with an accident in that case So
the valley is something is not really It is a
marketing term We are evolving The better you actually say
Like minor is a very good system with a lot
of conference If you are able to tell you can
sell it for a few $1,000,000 Instance we talked about

English: 
unlike some scenario which is President didn't exist but shouldn't
be tricked on to some default state that therefore it
exactly actually happens in your car and expected kind of
scenario Exactly It actually comes Say for example you say
like when you're driving your car without actually coming to
the neutral are pressing the clutch Okay you put the
brakes slight Break under our on fourth gear automatically stops
the first it within ginger Stop Find that for all
Indian areas for business For instance for your trouble in
stock problem devil appeared reports state we have to define
all these corner cases would be defined Okay because that's
where the building of Alexa building reinforcement learning system takes
a lot of time It looks very very easy to
explain But development Now you see the complexity we are

English: 
unlike some scenario which is President didn't exist but shouldn't
be tricked on to some default state that therefore it
exactly actually happens in your car and expected kind of
scenario Exactly It actually comes Say for example you say
like when you're driving your car without actually coming to
the neutral are pressing the clutch Okay you put the
brakes slight Break under our on fourth gear automatically stops
the first it within ginger Stop Find that for all
Indian areas for business For instance for your trouble in
stock problem devil appeared reports state we have to define
all these corner cases would be defined Okay because that's
where the building of Alexa building reinforcement learning system takes
a lot of time It looks very very easy to
explain But development Now you see the complexity we are

English: 
held on about lot of for like the new data
points coming in all these things now coming up with
a general framework to solve this problem is far from
reality No let me go to the next one This
is like say I think almost all of us might
have experienced How do we actually teach baby to work
This is exactly yes tried to do some reward The

English: 
held on about lot of for like the new data
points coming in all these things now coming up with
a general framework to solve this problem is far from
reality No let me go to the next one This
is like say I think almost all of us might
have experienced How do we actually teach baby to work
This is exactly yes tried to do some reward The

English: 
reward could be just clapping It's our attention seeking people
right in general So when care actually gets up she
doesn't know whether that is good Activity are bad activity
We all start clapping on his his like says smiling
faces all around So you get this action this action
when I do I am able to see like a
lot of attention towards me Let me do it repeatedly
And then he actually puts one foot forward He falls
We all will be said so that action of falling
is not actual like by my people Let me not
do that activity I Medusa is something slightly different because
by then I don't know like say what is correct
One I may do something slightly different and then people
like people are liking So I tried to repeat it
again and again Whether the kid actually looks at all
smiley faces are like he actually look set or chocolate
or whatever it is from his point of view Smiley

English: 
reward could be just clapping It's our attention seeking people
right in general So when care actually gets up she
doesn't know whether that is good Activity are bad activity
We all start clapping on his his like says smiling
faces all around So you get this action this action
when I do I am able to see like a
lot of attention towards me Let me do it repeatedly
And then he actually puts one foot forward He falls
We all will be said so that action of falling
is not actual like by my people Let me not
do that activity I Medusa is something slightly different because
by then I don't know like say what is correct
One I may do something slightly different and then people
like people are liking So I tried to repeat it
again and again Whether the kid actually looks at all
smiley faces are like he actually look set or chocolate
or whatever it is from his point of view Smiley

English: 
faces are chocolate Everything his reward v actually saying he
fell That's also reward negative Buy them kid And you
don't have communication mechanism developed So for example my son
actually started talking only at the end of third year
and we were sending him school to school at starting
of third year Okay His teacher is issued to tell
I say he doesn't speak to anyone very bringing but
I could actually understand whatever he was trying to tell
That communication mechanism was established between me and mason but
not between teacher and student So exactly those actions Whatever
he was actually making those actions my system was able
to understand it He had to train the system for
the new data points makes sense right And No this
is what the 10 storeys have a chilled anyhow Surface

English: 
faces are chocolate Everything his reward v actually saying he
fell That's also reward negative Buy them kid And you
don't have communication mechanism developed So for example my son
actually started talking only at the end of third year
and we were sending him school to school at starting
of third year Okay His teacher is issued to tell
I say he doesn't speak to anyone very bringing but
I could actually understand whatever he was trying to tell
That communication mechanism was established between me and mason but
not between teacher and student So exactly those actions Whatever
he was actually making those actions my system was able
to understand it He had to train the system for
the new data points makes sense right And No this
is what the 10 storeys have a chilled anyhow Surface

English: 
So comparative child actually puts and then they are actually
rewarding him With shuttle it he falls You don't rewarding
with chocolate So winner that could want circular know he
put those two steps Well it is actually much more
complex than this one Online learning is marketing term against
Okay We actually tried to say my car actually goes
at 300 kilometres of our our speed Cherie claims but
in reality we actually buy more Itty going at 1
20 are one doctor Speed online is exactly the similar
one So people claim online learning at to come in
something like automated mission Learning Automation Morning What Some of
this frame of people are claiming Microsoft of the world
a mission of the world they say like so you
don't eat evil programme You can just dragon drop Yes

English: 
So comparative child actually puts and then they are actually
rewarding him With shuttle it he falls You don't rewarding
with chocolate So winner that could want circular know he
put those two steps Well it is actually much more
complex than this one Online learning is marketing term against
Okay We actually tried to say my car actually goes
at 300 kilometres of our our speed Cherie claims but
in reality we actually buy more Itty going at 1
20 are one doctor Speed online is exactly the similar
one So people claim online learning at to come in
something like automated mission Learning Automation Morning What Some of
this frame of people are claiming Microsoft of the world
a mission of the world they say like so you
don't eat evil programme You can just dragon drop Yes

English: 
we can do all those things but at what cost
So they are actually trying to simplify their is limit
for simplification online Also it's basically for marketing in the
in reality I managed believe online learning Of course there
are all gardens for online learning Okay on reinforcement learning
If you actually take it as like say optimal actions
and then the states s actually taking actions online Maybe
you can say my system is automated undertaking actions online
or in real time Can we go ahead Are we
getting the sense of likes of what kind of problems
reinforcement learning can handle Okay the data says can be
can be very big on the data Can be pretty
ambiguous at this stage Okay Now you have like say

English: 
we can do all those things but at what cost
So they are actually trying to simplify their is limit
for simplification online Also it's basically for marketing in the
in reality I managed believe online learning Of course there
are all gardens for online learning Okay on reinforcement learning
If you actually take it as like say optimal actions
and then the states s actually taking actions online Maybe
you can say my system is automated undertaking actions online
or in real time Can we go ahead Are we
getting the sense of likes of what kind of problems
reinforcement learning can handle Okay the data says can be
can be very big on the data Can be pretty
ambiguous at this stage Okay Now you have like say

English: 
he however agent the kids okay He did some action
Place is standing up or watching of forward and then
the environment where you're in un surface He observed it
and he gave him reward And before that he had
to interpret it This action is good You have interpreted
You have given him reward And then he stressed again
repeat the same thing when they interpreted and gave him
reward Your state has changed Environment State had changed against
it is continuous cycle Okay right So no benefit those
the table examples By the way These examples when you
actually start building to the next level any example are
any case that you tried to solve are very similar
to these two examples You take any example Okay Whether

English: 
he however agent the kids okay He did some action
Place is standing up or watching of forward and then
the environment where you're in un surface He observed it
and he gave him reward And before that he had
to interpret it This action is good You have interpreted
You have given him reward And then he stressed again
repeat the same thing when they interpreted and gave him
reward Your state has changed Environment State had changed against
it is continuous cycle Okay right So no benefit those
the table examples By the way These examples when you
actually start building to the next level any example are
any case that you tried to solve are very similar
to these two examples You take any example Okay Whether

English: 
you're talking about self driving car or whether we are
talking about like say hitting some target all our lives
again boiling down to this month your data changes Okay
What is my state That state definition will be different
from for different problems But the process is Sim Okay
No civil actually saying Like can I keep the or
in target in view and then now have that likes
a present Rivers like adjusted That's different algorithm To solve
this one efficiently actually come up with a different Al
Garza's Whether we want to be greedy I mean trying
to focus only on the next reward Trying to focus
only on know like say chocolate Ari wanted father to
lift you and take you to the bazaar I walk
as a kid and they don't take the chocolate I
refused the chocolate That is a negative thing I don't

English: 
you're talking about self driving car or whether we are
talking about like say hitting some target all our lives
again boiling down to this month your data changes Okay
What is my state That state definition will be different
from for different problems But the process is Sim Okay
No civil actually saying Like can I keep the or
in target in view and then now have that likes
a present Rivers like adjusted That's different algorithm To solve
this one efficiently actually come up with a different Al
Garza's Whether we want to be greedy I mean trying
to focus only on the next reward Trying to focus
only on know like say chocolate Ari wanted father to
lift you and take you to the bazaar I walk
as a kid and they don't take the chocolate I
refused the chocolate That is a negative thing I don't

English: 
take the reward And then my father thinks that okay
he is not taking even this expensive reward publishes expected
something more The short all kids do right So Or
Elise actual intersection of some of the known areas One
is like save after Mom Control This is what they
say Communication engineers They are very fond of this particular
word Optimal control Okay guys they actually focus on optimal
control and R l from optimal control Point of view
our life saver air space applications or communication at work
applications Okay Underneath galaxy operations research right operation is such
it is pretty interesting problem Say for example we have
this start a big blood bank in the city under

English: 
take the reward And then my father thinks that okay
he is not taking even this expensive reward publishes expected
something more The short all kids do right So Or
Elise actual intersection of some of the known areas One
is like save after Mom Control This is what they
say Communication engineers They are very fond of this particular
word Optimal control Okay guys they actually focus on optimal
control and R l from optimal control Point of view
our life saver air space applications or communication at work
applications Okay Underneath galaxy operations research right operation is such
it is pretty interesting problem Say for example we have
this start a big blood bank in the city under

English: 
ally Say yes blood supplies there And there is a
requirement also from different hospitals Some played groups are universal
donor Some black groups are emotional except ear's Some are
only 1 to 1 with given supply and given demand
What is the optimal way so that everyone can actually
get the everyone can be solved their second Arul Okay
you can actually frame it as part of the enforcement
learning problem Okay but it is a supply chain solving
a supplication problem using artificial intelligence Now I actually told
only till this point now we had actually get intuition
list What could be my state And what could be
my action for this if universal donor is actually giving
into universal Except er probably that may be a right
correct writing universal donor giving you test stick up Group

English: 
ally Say yes blood supplies there And there is a
requirement also from different hospitals Some played groups are universal
donor Some black groups are emotional except ear's Some are
only 1 to 1 with given supply and given demand
What is the optimal way so that everyone can actually
get the everyone can be solved their second Arul Okay
you can actually frame it as part of the enforcement
learning problem Okay but it is a supply chain solving
a supplication problem using artificial intelligence Now I actually told
only till this point now we had actually get intuition
list What could be my state And what could be
my action for this if universal donor is actually giving
into universal Except er probably that may be a right
correct writing universal donor giving you test stick up Group

English: 
two Public could be writing so he actually trade through
all these actions and finally come up with proper match
Look at this Supplies today whatever bled we have in
the bank could be actually up to so on So
Mixon sit so underneath Aleksei this economics people it'll it'll
Terry game Terry whatever it is and then medical applications
Neuroscience are like this one now or near like artificial
intelligence are deploying And since people are talking about places
state aggregation are some time back Me and my friend
in IIT Mumbai We were actually trying to solve some
problem empirically Okay We actually spent a few weeks and
we actually came up with the state aggregation He have
continuous data coming in How we actually get the state's

English: 
two Public could be writing so he actually trade through
all these actions and finally come up with proper match
Look at this Supplies today whatever bled we have in
the bank could be actually up to so on So
Mixon sit so underneath Aleksei this economics people it'll it'll
Terry game Terry whatever it is and then medical applications
Neuroscience are like this one now or near like artificial
intelligence are deploying And since people are talking about places
state aggregation are some time back Me and my friend
in IIT Mumbai We were actually trying to solve some
problem empirically Okay We actually spent a few weeks and
we actually came up with the state aggregation He have
continuous data coming in How we actually get the state's

English: 
prepared because you cannot take data in a continuous form
It maybe every 100 milliseconds are a very one second
how to consulted all that information and then go for
the action making Right So reaction empirical approved And then
But we have some doubt about its validity it after
a process called worker By the way Barker is one
of the leading research scientist in India but lacks a
reinforcement Learning is an IDB okay And his students are
in Iasi Okay that's a process goes and other people
and other like see his Condon burqas Cannon is pretty
big in Bangalore Ezzell So we I shall explain him
the problem at all Ok Gorski my paper in 1995
I told this one politically Okay Almost like some 15
years before what we actually solved Empirically he could political
prove it state aggregation How to do in a continuous

English: 
prepared because you cannot take data in a continuous form
It maybe every 100 milliseconds are a very one second
how to consulted all that information and then go for
the action making Right So reaction empirical approved And then
But we have some doubt about its validity it after
a process called worker By the way Barker is one
of the leading research scientist in India but lacks a
reinforcement Learning is an IDB okay And his students are
in Iasi Okay that's a process goes and other people
and other like see his Condon burqas Cannon is pretty
big in Bangalore Ezzell So we I shall explain him
the problem at all Ok Gorski my paper in 1995
I told this one politically Okay Almost like some 15
years before what we actually solved Empirically he could political
prove it state aggregation How to do in a continuous

English: 
man of how to actually agree Get this information and
put it is a state So that is nothing but
laces Some people call it victory Isation Some people call
it is clustering on in our oil terminal services state
aggregation continuous data You have to put it into life
See all that information consolidators likes every 100 milliseconds This
is what state is makes sense right And then so
how this particular beautiful object reinforcement learning is seen from
different people Okay when you are like say coming from
competitions and machine learning These are the intersections 40 help
Okay So different people tried to handle this problem differently
But at the end automation is the target and the

English: 
man of how to actually agree Get this information and
put it is a state So that is nothing but
laces Some people call it victory Isation Some people call
it is clustering on in our oil terminal services state
aggregation continuous data You have to put it into life
See all that information consolidators likes every 100 milliseconds This
is what state is makes sense right And then so
how this particular beautiful object reinforcement learning is seen from
different people Okay when you are like say coming from
competitions and machine learning These are the intersections 40 help
Okay So different people tried to handle this problem differently
But at the end automation is the target and the

English: 
and automation is a target And the other thing is
there is no target bearable here It cannot be fit
into Our suppliers are learning It cannot be fitted to
surprise a learning that those sort of problems automating those
problems solving those problems Solution Automating it is nothing but
reinforcement learning it is core of decision making And if
we want very very precision decision making that can be
achieved to the greater extent with oil Okay so you
have like not trying to see how the interaction between
agent under any arraignment Okay So for example have you
any arraignment in that environment E how states rewards actions
right We actually um it state and reward on this
man isn't he Actually sent back action because of that
Something will change here again He actually start a meeting

English: 
and automation is a target And the other thing is
there is no target bearable here It cannot be fit
into Our suppliers are learning It cannot be fitted to
surprise a learning that those sort of problems automating those
problems solving those problems Solution Automating it is nothing but
reinforcement learning it is core of decision making And if
we want very very precision decision making that can be
achieved to the greater extent with oil Okay so you
have like not trying to see how the interaction between
agent under any arraignment Okay So for example have you
any arraignment in that environment E how states rewards actions
right We actually um it state and reward on this
man isn't he Actually sent back action because of that
Something will change here again He actually start a meeting

English: 
Okay this is what is exactly happening in ever Brazil
driving car or any continuous systems This is what I
wrote here This is a continuous process Okay Williams this
is like say this is actually emitted Look at the
lookup table dot C s vegetable action is adolescent And
again if our state is coming up again you're sending
action Looking at the table Since you're just looking at
lookup table action taking time is just fraction of for
second couple of microseconds Can we go ahead So now
in a vase reinforcement learning is the science of making

English: 
Okay this is what is exactly happening in ever Brazil
driving car or any continuous systems This is what I
wrote here This is a continuous process Okay Williams this
is like say this is actually emitted Look at the
lookup table dot C s vegetable action is adolescent And
again if our state is coming up again you're sending
action Looking at the table Since you're just looking at
lookup table action taking time is just fraction of for
second couple of microseconds Can we go ahead So now
in a vase reinforcement learning is the science of making

English: 
optimal dish in right The fourth The crux of the
storey is the science of are making organisation Looking at
the experience what he had so far experiences nothing We're
training the system right So breaking it down the process
of the enforcement running up during the environment deciding how
to act easing some strategy Observing the environment is nothing
were state aggregation last 10 microseconds information Let me put
it as my state rate in lost 10 microseconds My
vehicles travelled it till like 120 kilometres Speed and coordinates
are from here to there The coordinate of presentment coordinate
of previous one is so on so under fuel consumption
is so on So okay the spot My operation of

English: 
optimal dish in right The fourth The crux of the
storey is the science of are making organisation Looking at
the experience what he had so far experiences nothing We're
training the system right So breaking it down the process
of the enforcement running up during the environment deciding how
to act easing some strategy Observing the environment is nothing
were state aggregation last 10 microseconds information Let me put
it as my state rate in lost 10 microseconds My
vehicles travelled it till like 120 kilometres Speed and coordinates
are from here to there The coordinate of presentment coordinate
of previous one is so on so under fuel consumption
is so on So okay the spot My operation of

English: 
the environment now acting accordingly You are optimal actions looking
at the table under receiving the reward reaching the target
right Under learning from the experiences if it is good
experience you tried to repeat it If it is bad
experiences right avoid doing the traction and then it until
an optimal strategies for formed An optimal strategy is like
figured out And when you do all these things were
after all started in there And then that's 41 train
system is like cases until and documents traffic actually wrote
already hyper parameters learning parameter Here there is one of
the hyper parameters we have to tune I did not

English: 
the environment now acting accordingly You are optimal actions looking
at the table under receiving the reward reaching the target
right Under learning from the experiences if it is good
experience you tried to repeat it If it is bad
experiences right avoid doing the traction and then it until
an optimal strategies for formed An optimal strategy is like
figured out And when you do all these things were
after all started in there And then that's 41 train
system is like cases until and documents traffic actually wrote
already hyper parameters learning parameter Here there is one of
the hyper parameters we have to tune I did not

English: 
name it because I have not introduced the term at
but that make since right Can we go ahead So
some of the components in reinforcement learning one is a
reward Okay this reward will be coming again and again
The world is nothing but a scale er quantity It
could be like said dollar rupees dollar are rupees or
it could be something like punishment right Yeah So and
our target is maximising reward by the when no one
will tell you what if the reward here when you
are actually going ahead to build your system No one
will tell What is the reward for your system Completely
unknown Now we have to come up with their own

English: 
name it because I have not introduced the term at
but that make since right Can we go ahead So
some of the components in reinforcement learning one is a
reward Okay this reward will be coming again and again
The world is nothing but a scale er quantity It
could be like said dollar rupees dollar are rupees or
it could be something like punishment right Yeah So and
our target is maximising reward by the when no one
will tell you what if the reward here when you
are actually going ahead to build your system No one
will tell What is the reward for your system Completely
unknown Now we have to come up with their own

English: 
reward definition Okay Probably same problem Whatever you're solving Okay
you may have reward defined in one way I may
have river defend in another way So though we solved
the same problem in like say in Orvis you're set
of optimal actions on my set of optimal actions Forgive
in a set of states will be different Okay Probably
to win the chess game I may put the trap
and then Okay You don't like to actually lose those
of initial happens that they don't put the property actually
emitted lot more Step two in the game That's it
So Target is going for like maximum reward Okay So
some other standard examples for the reward So this is
just allies a sample list when you are actually building

English: 
reward definition Okay Probably same problem Whatever you're solving Okay
you may have reward defined in one way I may
have river defend in another way So though we solved
the same problem in like say in Orvis you're set
of optimal actions on my set of optimal actions Forgive
in a set of states will be different Okay Probably
to win the chess game I may put the trap
and then Okay You don't like to actually lose those
of initial happens that they don't put the property actually
emitted lot more Step two in the game That's it
So Target is going for like maximum reward Okay So
some other standard examples for the reward So this is
just allies a sample list when you are actually building

English: 
any solution Given a problem he hunted a final award
Say for example the dog receives a reward from a
trainer for doing the activity What trainer expected Okay so
probably that reward is on the lesson Getting biscuit are
not getting anything Second word for it is getting meetings
and then getting call from Maneka Gandhi So in the
area of those things now like getting meetings the environment
also has its limitations right It is not that it
can actually do any actions Water it wants to so
undone Say for example like this or auto auto driving
helicopter Okay And this man like say Andre Angie from
Mom Stern Fort His example is pretty famous Okay for

English: 
any solution Given a problem he hunted a final award
Say for example the dog receives a reward from a
trainer for doing the activity What trainer expected Okay so
probably that reward is on the lesson Getting biscuit are
not getting anything Second word for it is getting meetings
and then getting call from Maneka Gandhi So in the
area of those things now like getting meetings the environment
also has its limitations right It is not that it
can actually do any actions Water it wants to so
undone Say for example like this or auto auto driving
helicopter Okay And this man like say Andre Angie from
Mom Stern Fort His example is pretty famous Okay for

English: 
this one I'll just play that Is he not First
of all taking of the helicopter You see Like say
Khomeini states are possible in this point and it has
to balance And this is like he actually created this
example on his own with his students still flying Okay
He said the target are now it will reach so
it will go on hit a land that is actually
like serious of punishment rate So that action will not
be for formed again and again It is just flying
in the air there only now he said the target
instead of like flying they're only going forward Has I
reward So it starts reaching the destination It should not

English: 
this one I'll just play that Is he not First
of all taking of the helicopter You see Like say
Khomeini states are possible in this point and it has
to balance And this is like he actually created this
example on his own with his students still flying Okay
He said the target are now it will reach so
it will go on hit a land that is actually
like serious of punishment rate So that action will not
be for formed again and again It is just flying
in the air there only now he said the target
instead of like flying they're only going forward Has I
reward So it starts reaching the destination It should not

English: 
fly upside down Those actions will be finalist Andre Angie
is actually standing next to it That video lice It
is slightly bigger Exactly The state action after months state
action pair is actually running inside the phone Or you
thought that it is remote helicopter This helicopter is actual
flying with reinforcement learning algorithm incorporating Okay And in fact
you can still I say his photo Also next This
is the men's you can actually see See him actually
doing all these of experiments This is the men we
are talking about Okay so that must be hard to
change out for seven to some extent Okay Our Steve
of Mohan case and I and ended their both the
lab mitts in the the this Yeah So this one

English: 
fly upside down Those actions will be finalist Andre Angie
is actually standing next to it That video lice It
is slightly bigger Exactly The state action after months state
action pair is actually running inside the phone Or you
thought that it is remote helicopter This helicopter is actual
flying with reinforcement learning algorithm incorporating Okay And in fact
you can still I say his photo Also next This
is the men's you can actually see See him actually
doing all these of experiments This is the men we
are talking about Okay so that must be hard to
change out for seven to some extent Okay Our Steve
of Mohan case and I and ended their both the
lab mitts in the the this Yeah So this one

English: 
likes Is flight Manu us Okay noisy Some particulars are
designed of like revert positive revert for doing the expected
activity going forward ARF loyal isis are being in the
air Pointy reward Negative Revert The actions the exact date
of this Exactly So the word oil to sign is
positive or negative Sign is penalty but we normally don't
call it a penalty per service in negative reward Okay
And then he still I said default or champion in
or they say back home owner Chess Okay Initially set
a trap Like until win or you have the following
Finally What Ari Her life Winning the game are losing
the game is the reward Okay Winning the game is

English: 
likes Is flight Manu us Okay noisy Some particulars are
designed of like revert positive revert for doing the expected
activity going forward ARF loyal isis are being in the
air Pointy reward Negative Revert The actions the exact date
of this Exactly So the word oil to sign is
positive or negative Sign is penalty but we normally don't
call it a penalty per service in negative reward Okay
And then he still I said default or champion in
or they say back home owner Chess Okay Initially set
a trap Like until win or you have the following
Finally What Ari Her life Winning the game are losing
the game is the reward Okay Winning the game is

English: 
posited Award Losing the game is negative No Minister and
investment portfolio making money if you make $1 money also
reward if you lose $1 money negative reward and then
controlling a poor station Now it how like say if
we're able to manage our efficiently alter word any security
like say incidents negative reward Just giving an idea like
how do we defend rewards Each problem will have different
reports Different kind of reward definition Okay And then how
a humanoid robot can walk How can you make in
Ruben a humanoid robot work Exactly What are we did
with the dog and baby Exactly Same like actions Repetition
forward motion of humanised and I say a point on

English: 
posited Award Losing the game is negative No Minister and
investment portfolio making money if you make $1 money also
reward if you lose $1 money negative reward and then
controlling a poor station Now it how like say if
we're able to manage our efficiently alter word any security
like say incidents negative reward Just giving an idea like
how do we defend rewards Each problem will have different
reports Different kind of reward definition Okay And then how
a humanoid robot can walk How can you make in
Ruben a humanoid robot work Exactly What are we did
with the dog and baby Exactly Same like actions Repetition
forward motion of humanised and I say a point on

English: 
falling over negative reward okay And then playing different games
different Atari games like say you have no systems playing
games on their own right So that sport lakes exactly
start playing among themselves They actually become like pretty intelligent
And after some time we may actually find it very
difficult for us to control That's what actually happened in
alphago rations Distance in Understand We are defending it We
are defending that It is No Okay Very good Okay
How do we define reversing the helicopter case in Vegas
Insist they should be Census Which witnesses in the distance
close the distances to the ground Exactly He actually took
the action now So for example tilting or the actual

English: 
falling over negative reward okay And then playing different games
different Atari games like say you have no systems playing
games on their own right So that sport lakes exactly
start playing among themselves They actually become like pretty intelligent
And after some time we may actually find it very
difficult for us to control That's what actually happened in
alphago rations Distance in Understand We are defending it We
are defending that It is No Okay Very good Okay
How do we define reversing the helicopter case in Vegas
Insist they should be Census Which witnesses in the distance
close the distances to the ground Exactly He actually took
the action now So for example tilting or the actual

English: 
took the traction on because of the actions What is
the like The altitude Know your own If the altitude
falls it is an inter reward needs to for the
altitude meets to that is expected Action You received the
targets in Richard the expected the GPS Okay Now he
reach the expected GPS so your altitude should start falling
Exactly Based on the in an environment of state based
on the new government of state your reward will differ
This remote is nothing but some factors that multiplies into
the weight age from a mission Learning a waiters are
like a function is a function which actually a cumulus
all even actions output the better actually capture all the
output of actions the better it becomes Um in your

English: 
took the traction on because of the actions What is
the like The altitude Know your own If the altitude
falls it is an inter reward needs to for the
altitude meets to that is expected Action You received the
targets in Richard the expected the GPS Okay Now he
reach the expected GPS so your altitude should start falling
Exactly Based on the in an environment of state based
on the new government of state your reward will differ
This remote is nothing but some factors that multiplies into
the weight age from a mission Learning a waiters are
like a function is a function which actually a cumulus
all even actions output the better actually capture all the
output of actions the better it becomes Um in your

English: 
system will be for better Makes sense right Can we
go ahead So now you see like girls and actions
under this is another term what he actually come across
You need to have electric goals and actions Set of
actions on the Russia short term goal and long term
goal Okay sort um gold is coming from here on
long term goal is like say yes I want to
win the game How do we action Incorporate those things
and then state we actually discussed a port ST quite
a bit What is the state State is not a
whatever environment perception environmental environment perception Maybe the image 40
Have your vehicle image Water We have taken along with
all over vehicles Attributes make since it on this about

English: 
system will be for better Makes sense right Can we
go ahead So now you see like girls and actions
under this is another term what he actually come across
You need to have electric goals and actions Set of
actions on the Russia short term goal and long term
goal Okay sort um gold is coming from here on
long term goal is like say yes I want to
win the game How do we action Incorporate those things
and then state we actually discussed a port ST quite
a bit What is the state State is not a
whatever environment perception environmental environment perception Maybe the image 40
Have your vehicle image Water We have taken along with
all over vehicles Attributes make since it on this about

English: 
status And now where the juice I'm in vary the
main information in reinforcement learning the better he make the
states on the better actions he make for the states
I mean internal possible actions for general possible states If
you can a kelly get all possible states forever the
environment or for a problem Now you can actually train
your model very well And this is where we actually
get little bit greedy Okay How many states we can
actually with maybe 1000 if he actually said 10,000 is
not training them takes a lot of things Okay Unlike
say one million states is gone now be hot Is
election biggest systems to train break on Ministers project Li
Like say now we are able to like all possible

English: 
status And now where the juice I'm in vary the
main information in reinforcement learning the better he make the
states on the better actions he make for the states
I mean internal possible actions for general possible states If
you can a kelly get all possible states forever the
environment or for a problem Now you can actually train
your model very well And this is where we actually
get little bit greedy Okay How many states we can
actually with maybe 1000 if he actually said 10,000 is
not training them takes a lot of things Okay Unlike
say one million states is gone now be hot Is
election biggest systems to train break on Ministers project Li
Like say now we are able to like all possible

English: 
frames in the video right All possible frames in the
video you're able to We're trying to see the policy
This is what we discussed Policy is nothing Work given
step action is associated optimal policies for a given state
Octo man I like action is associated These are the
terminals is one of the tunnel Is is we have
looked at reward goals and actions State policy These are
the standard terminal is what we have right No Finally
so far we did not talk about model How it
model looks like a model is nothing but Asians Perception
of the more like environment And then this model includes
the C S F and water with the vote okay
And in that C S v file or like say

English: 
frames in the video right All possible frames in the
video you're able to We're trying to see the policy
This is what we discussed Policy is nothing Work given
step action is associated optimal policies for a given state
Octo man I like action is associated These are the
terminals is one of the tunnel Is is we have
looked at reward goals and actions State policy These are
the standard terminal is what we have right No Finally
so far we did not talk about model How it
model looks like a model is nothing but Asians Perception
of the more like environment And then this model includes
the C S F and water with the vote okay
And in that C S v file or like say

English: 
if you actually go a little more deeper if we're
able to predict what would be the next state as
well Apart from action possible action the actual predict the
next date as well If you're in this present state
what is the formal deputy will be in the next
eight Okay Now you see are getting into probability what
is a possible to that will be in the next
eight And that's what like we end up into Marco
chains Mark audition process today I don't introduce it tomorrow
I'll injuries In fact reinforcement learning is interested to MDP
market Asian process are explained and then reinforcement learning comes
But if I actually took over mark rotation process in
the afternoon everybody will be sleeping okay And in fact
for us to implement we don't need MDP We are
practising data scientists and any of you want a life
saver A political understanding of this one I am like

English: 
if you actually go a little more deeper if we're
able to predict what would be the next state as
well Apart from action possible action the actual predict the
next date as well If you're in this present state
what is the formal deputy will be in the next
eight Okay Now you see are getting into probability what
is a possible to that will be in the next
eight And that's what like we end up into Marco
chains Mark audition process today I don't introduce it tomorrow
I'll injuries In fact reinforcement learning is interested to MDP
market Asian process are explained and then reinforcement learning comes
But if I actually took over mark rotation process in
the afternoon everybody will be sleeping okay And in fact
for us to implement we don't need MDP We are
practising data scientists and any of you want a life
saver A political understanding of this one I am like

English: 
so willing to discuss on the federal like off any
want to take it up there is this man No
this is the man he actually leads all for Project
in different on this Alexis He actually started in the
University College London the razzle or 10 Lexus Each lecture
approximately one hour 40 minutes So are around 14 hours
We'll definitely the stress testing They are actually giving different
state which was not experienced earlier And now you're trying
to say however system the acts Yes You're able to
do that Yes it's option but not incorporate into your
system If you give any new state Exactly that state
need to be identified with something which is already there
maybe using clustering rate So Lay said this man is

English: 
so willing to discuss on the federal like off any
want to take it up there is this man No
this is the man he actually leads all for Project
in different on this Alexis He actually started in the
University College London the razzle or 10 Lexus Each lecture
approximately one hour 40 minutes So are around 14 hours
We'll definitely the stress testing They are actually giving different
state which was not experienced earlier And now you're trying
to say however system the acts Yes You're able to
do that Yes it's option but not incorporate into your
system If you give any new state Exactly that state
need to be identified with something which is already there
maybe using clustering rate So Lay said this man is

English: 
one of the celebrities in our l Okay So like
you have enough materials in his website in his cell
website again I'm going back to my deputy So his
name is David Silver and by the way in his
class is actually very frequently advantageous Likes it deep Mindy's
are not not like recruiting If you people are interested
in you can a place on his down Tate personalisation
when you actually listen to him he feel I say
Well I have to do this message That sort of
influence He actually he has in his voice Okay No
the framework quarter You're mentioning Okay Yes we talked the
vote licence political stuff What We want to basically solve
problems And we want to basically wanted to help states

English: 
one of the celebrities in our l Okay So like
you have enough materials in his website in his cell
website again I'm going back to my deputy So his
name is David Silver and by the way in his
class is actually very frequently advantageous Likes it deep Mindy's
are not not like recruiting If you people are interested
in you can a place on his down Tate personalisation
when you actually listen to him he feel I say
Well I have to do this message That sort of
influence He actually he has in his voice Okay No
the framework quarter You're mentioning Okay Yes we talked the
vote licence political stuff What We want to basically solve
problems And we want to basically wanted to help states

English: 
defined actions defined on some way of life training the
system correct rate and the framework for all these things
OK the basic framework It's not some delays A psych
it loan Actually psychic land spoils is we expect all
the comfort in life because of psych It learn So
for the sort of our El Al Gardens there are
hardly any frameworks available And this is one of the
Mitchell framework and it held likes a few examples through
which you can actually developed the intuition on the fatal
We want to deep dive We had to write our
own frameworks Okay so this is open a gym Ikan
actually Get into people still Jim and you can start
using it places Document is not so great Like in
cyclone Cyclone is pretty good documentation How do we solve
the problem We talked over the problems but who were
is over the problems unless we have mechanism to solve

English: 
defined actions defined on some way of life training the
system correct rate and the framework for all these things
OK the basic framework It's not some delays A psych
it loan Actually psychic land spoils is we expect all
the comfort in life because of psych It learn So
for the sort of our El Al Gardens there are
hardly any frameworks available And this is one of the
Mitchell framework and it held likes a few examples through
which you can actually developed the intuition on the fatal
We want to deep dive We had to write our
own frameworks Okay so this is open a gym Ikan
actually Get into people still Jim and you can start
using it places Document is not so great Like in
cyclone Cyclone is pretty good documentation How do we solve
the problem We talked over the problems but who were
is over the problems unless we have mechanism to solve

English: 
it So one of the old guard as people have
proposed to solve is that reinforcement learning problems unlike the
problems of this kind Okay people actually proposed retraining The
system are relearning the system's the enforcement okay on one
of the all goddesses Q Learning Q Learning is of
policy It actually doesn't start with any policy Will see
what is Q learning It doesn't start with any policy
It doesn't have a model per se Okay the model
it has if only like say he have this sort
are Canada's neighbours Saw classification right in Kenya's neighbour Classification
What in the model It's only Kenya's classification What is
your dad is name that is There is no model
person except K Costa Triarc A coastal Exactly And in
Q learning it's model free He just had our CSP

English: 
it So one of the old guard as people have
proposed to solve is that reinforcement learning problems unlike the
problems of this kind Okay people actually proposed retraining The
system are relearning the system's the enforcement okay on one
of the all goddesses Q Learning Q Learning is of
policy It actually doesn't start with any policy Will see
what is Q learning It doesn't start with any policy
It doesn't have a model per se Okay the model
it has if only like say he have this sort
are Canada's neighbours Saw classification right in Kenya's neighbour Classification
What in the model It's only Kenya's classification What is
your dad is name that is There is no model
person except K Costa Triarc A coastal Exactly And in
Q learning it's model free He just had our CSP

English: 
filed as an output He just held dot C S
V Felder Sit So it is a model free of
policy means it does not required to follow a specific
policy while training Okay It actually looked at all states
repeated times and January How like say for like good
states it actually start accumulating positive revert back states negative
reward Okay so that's what it does Under the end
it actually help the following set of all states set
up all actions as a date of him You can
put it set up all states set up all actions
You visit all the states for all the actions multiple
times if you're his state One is say for example
the visit action One state only for formed action One

English: 
filed as an output He just held dot C S
V Felder Sit So it is a model free of
policy means it does not required to follow a specific
policy while training Okay It actually looked at all states
repeated times and January How like say for like good
states it actually start accumulating positive revert back states negative
reward Okay so that's what it does Under the end
it actually help the following set of all states set
up all actions as a date of him You can
put it set up all states set up all actions
You visit all the states for all the actions multiple
times if you're his state One is say for example
the visit action One state only for formed action One

English: 
because of action One you may end up getting into
state for so the cycle actually repeats So actually start
repeating This is the like say information again and again
at some some states actually converge that Mr of Suitable
will not be this This results this Valley's will not
be getting updated much the 40 solitaire convergence Now how
do you use it in the production How do I
actually say what is the best one for statement Whatever
in the actions what are maximally I have say for
example for state one I want to say index zero
for state Want the best Well zero so venom in
state one for from action for when I'm in ST
Let me is indecision Lee when I'm in State Election

English: 
because of action One you may end up getting into
state for so the cycle actually repeats So actually start
repeating This is the like say information again and again
at some some states actually converge that Mr of Suitable
will not be this This results this Valley's will not
be getting updated much the 40 solitaire convergence Now how
do you use it in the production How do I
actually say what is the best one for statement Whatever
in the actions what are maximally I have say for
example for state one I want to say index zero
for state Want the best Well zero so venom in
state one for from action for when I'm in ST
Let me is indecision Lee when I'm in State Election

English: 
index zero for form Action for index Want for form
action Five under When I'm in like the state and
export perform action Five No One getting states associated with
out optimal actions The stable is repeatedly updated and at
the end I'll get the stable and then just like
say when I actually say what is the organics for
each row that will give me my action Optimal action
or Max is nothing but maximum happening at the particular
place That index will be thrown out So Q Learning
basically professed the stable And from that we basically prepared
or optimal actions That's it And this is one of
the simplest algorithms and I feel I say are really
is more natural than any other supervision are learning So

English: 
index zero for form Action for index Want for form
action Five under When I'm in like the state and
export perform action Five No One getting states associated with
out optimal actions The stable is repeatedly updated and at
the end I'll get the stable and then just like
say when I actually say what is the organics for
each row that will give me my action Optimal action
or Max is nothing but maximum happening at the particular
place That index will be thrown out So Q Learning
basically professed the stable And from that we basically prepared
or optimal actions That's it And this is one of
the simplest algorithms and I feel I say are really
is more natural than any other supervision are learning So

English: 
e think that charred body simple But for some other
guy who actually has a lot of fancy thing with
cost him eating car is very good Reason is they
say looking at the photo on identifying is much better
than understanding some more multiple languages Translating those language will
be difficult and we have the habit of like getting
into multiple language in the same sentence So how do
you deal with the action Might be different if the
future state is gonna be so for example as I
am in a state index zero now I for formed
action Norm Like said the optimal action in this one
is indexed four and well what I'm saying is that
the state can change because of my action district in
all sections Yes If there is in the previous one
of the base price he sexted there's also a possibility
of predicting what the next step of probably some problem
is now knowing that my action my national change is

English: 
e think that charred body simple But for some other
guy who actually has a lot of fancy thing with
cost him eating car is very good Reason is they
say looking at the photo on identifying is much better
than understanding some more multiple languages Translating those language will
be difficult and we have the habit of like getting
into multiple language in the same sentence So how do
you deal with the action Might be different if the
future state is gonna be so for example as I
am in a state index zero now I for formed
action Norm Like said the optimal action in this one
is indexed four and well what I'm saying is that
the state can change because of my action district in
all sections Yes If there is in the previous one
of the base price he sexted there's also a possibility
of predicting what the next step of probably some problem
is now knowing that my action my national change is

English: 
that another dimension to this A Q learning is the
starting on top of this Oh no we actually do
like say all fancy feast of so with rights Now
we are explicating like just of steamed rice cooking Okay
from here you can actually make a barbarian e you
can I get a lot of recipes prepared on top
of this one but this is the base with so
at the end Now when you actually look at it
this problem I say I think defining reinforcement learning is
much easier than compared to any other supervisor and suppression
learning it is very easy to actually see what is
the problem And it is very easy to actually defend
What is the world What is ST What is action
What are you are saying Maybe you're the right person

English: 
that another dimension to this A Q learning is the
starting on top of this Oh no we actually do
like say all fancy feast of so with rights Now
we are explicating like just of steamed rice cooking Okay
from here you can actually make a barbarian e you
can I get a lot of recipes prepared on top
of this one but this is the base with so
at the end Now when you actually look at it
this problem I say I think defining reinforcement learning is
much easier than compared to any other supervisor and suppression
learning it is very easy to actually see what is
the problem And it is very easy to actually defend
What is the world What is ST What is action
What are you are saying Maybe you're the right person

English: 
to actually to defence You're putting the condition there with
so any persons so far It is fine right I
actually give an example in general water princes when we
shot training the system when it start training Any reinforcement
learning algorithm He actually start with zeroes They are suitable
starting with all our heroes Okay And from there and
mercy actually start updating And the action among all the
zeros among all those selects a Harry holic 123 Among
these three actions random action will be taken Train of
this the size that Yes of course Then only we
can train the system if you don't know how many

English: 
to actually to defence You're putting the condition there with
so any persons so far It is fine right I
actually give an example in general water princes when we
shot training the system when it start training Any reinforcement
learning algorithm He actually start with zeroes They are suitable
starting with all our heroes Okay And from there and
mercy actually start updating And the action among all the
zeros among all those selects a Harry holic 123 Among
these three actions random action will be taken Train of
this the size that Yes of course Then only we
can train the system if you don't know how many

English: 
states are there If you don't know the state what
is going to be there then water What's expected Actions
to train the system will be difficult right The transit
time may miss because 1,000,000 scenarios And while the system
is running if we come across the announced eight basically
that very have came is clustering to help confrontation This
latest new state which was not experienced in the history
is similar to so on So district example of helicopters
when you are going up to five I should increase
by the war State will be some people based on
that action Now you reached the state After that it
has to be reversed Right So how we have identified
that in so few learning will not identify that Let

English: 
states are there If you don't know the state what
is going to be there then water What's expected Actions
to train the system will be difficult right The transit
time may miss because 1,000,000 scenarios And while the system
is running if we come across the announced eight basically
that very have came is clustering to help confrontation This
latest new state which was not experienced in the history
is similar to so on So district example of helicopters
when you are going up to five I should increase
by the war State will be some people based on
that action Now you reached the state After that it
has to be reversed Right So how we have identified
that in so few learning will not identify that Let

English: 
me actually answer that one The state very are in
on the top Say for example this is ST zero
Okay When I mean when you are in ST Zero
that your target is going straight and then coming down
If that is your target on this devotee of state
is no Okay The possible actions it could be Go
forward Increase your altitude Decrease your altitude that this allies
turn left Turn right Turn left Any of these things
So say for example if you actually take if you
actually say go forward in the same altitude this is
one of their actions You're continuing And then here when
you're here you know like so what is this GPS
location As soon as I reached the GPS location by
stated changing here it is not at zero It would
be some more Yes 100 in 100 when I visit

English: 
me actually answer that one The state very are in
on the top Say for example this is ST zero
Okay When I mean when you are in ST Zero
that your target is going straight and then coming down
If that is your target on this devotee of state
is no Okay The possible actions it could be Go
forward Increase your altitude Decrease your altitude that this allies
turn left Turn right Turn left Any of these things
So say for example if you actually take if you
actually say go forward in the same altitude this is
one of their actions You're continuing And then here when
you're here you know like so what is this GPS
location As soon as I reached the GPS location by
stated changing here it is not at zero It would
be some more Yes 100 in 100 when I visit

English: 
Like some more 100 kilometres are like say 50 kilometres
from my destination Now I start receding my altitude That
means not only going forward altitude receding and then going
forward is the action otherwise like so you are actually
going forward And this is like bad action Do not
be able to take you will not be able to
land So if I have to make a matrix buy
back for this so you don't make metrics of that
kind Working 40 actually says say for example totally 100
states the 100 states 1 200 one of the actions
they say go state back down up for these are

English: 
Like some more 100 kilometres are like say 50 kilometres
from my destination Now I start receding my altitude That
means not only going forward altitude receding and then going
forward is the action otherwise like so you are actually
going forward And this is like bad action Do not
be able to take you will not be able to
land So if I have to make a matrix buy
back for this so you don't make metrics of that
kind Working 40 actually says say for example totally 100
states the 100 states 1 200 one of the actions
they say go state back down up for these are

English: 
my actions I can actually says And when I am
actually in the simulation everytime I know I repeatedly run
this one The simulation whenever I am in like state
zero statement suggested to when our I am here for
from this action this is negative Some big number whenever
I for from this action this is native big number
I am increasingly altitude were no right for from this
action a national appreciating it I do this activity again
and again Minimum here And when I do this activity
going forward I may end of its statement He also
had to come a lesson for from the same activity
to get better reward Yeah soon as I reached 100
I cannot do this This one I'll get NATO Revert
I heard actually for from this one one of those

English: 
my actions I can actually says And when I am
actually in the simulation everytime I know I repeatedly run
this one The simulation whenever I am in like state
zero statement suggested to when our I am here for
from this action this is negative Some big number whenever
I for from this action this is native big number
I am increasingly altitude were no right for from this
action a national appreciating it I do this activity again
and again Minimum here And when I do this activity
going forward I may end of its statement He also
had to come a lesson for from the same activity
to get better reward Yeah soon as I reached 100
I cannot do this This one I'll get NATO Revert
I heard actually for from this one one of those

English: 
actions will be for falling for a given a state
But one of those actions will be the right one
Others will be like said deviating other Sylvie wrong actions
Mixon Sweet Is it clear or not No How do
we have done that Few table Okay that suitable If
I actually right it's slightly differently Let me put it
here The uh question Please don't worry It may be
distracting element I'll actually write it easily This is work
you table whatever we had earlier That is nothing but
do you of justice Let me put Yes that is
nothing but table with tha states actions This is not

English: 
actions will be for falling for a given a state
But one of those actions will be the right one
Others will be like said deviating other Sylvie wrong actions
Mixon Sweet Is it clear or not No How do
we have done that Few table Okay that suitable If
I actually right it's slightly differently Let me put it
here The uh question Please don't worry It may be
distracting element I'll actually write it easily This is work
you table whatever we had earlier That is nothing but
do you of justice Let me put Yes that is
nothing but table with tha states actions This is not

English: 
the key off Zero State your action zero state on
fifth action There are only Fi Alexis Six actions for
example Later if there are 100 states k of 100
state direction Kay of understates on 50 Action Okay To
start with we actually start with algae rose here Okay
Intelligence with algae rose No How'd we update when I
am in the state zero Unfair for For action Zero
What is the reward I may get ₹1 as a
reward Okay State zero Okay And like I say I'm
for forming action Action Zero And that resultant is actually

English: 
the key off Zero State your action zero state on
fifth action There are only Fi Alexis Six actions for
example Later if there are 100 states k of 100
state direction Kay of understates on 50 Action Okay To
start with we actually start with algae rose here Okay
Intelligence with algae rose No How'd we update when I
am in the state zero Unfair for For action Zero
What is the reward I may get ₹1 as a
reward Okay State zero Okay And like I say I'm
for forming action Action Zero And that resultant is actually

English: 
pushing me to ST three The abduction is going to
be instead Three So ST three The operation No no
I had actually repeated the because I have taken action
Zero I got ₹1 The river has to be updated
in the my present State ST Zero and action zero
So starting with it it has already 00 Okay say
for example may learning rate hyper parameter Let me take
it Has one for convenience Okay And the reward is
₹1 This is a reward I got the discount battle
as men take it has one for timing and this
quantity I am looking at places in the next day
because of my action I am leading into ST three

English: 
pushing me to ST three The abduction is going to
be instead Three So ST three The operation No no
I had actually repeated the because I have taken action
Zero I got ₹1 The river has to be updated
in the my present State ST Zero and action zero
So starting with it it has already 00 Okay say
for example may learning rate hyper parameter Let me take
it Has one for convenience Okay And the reward is
₹1 This is a reward I got the discount battle
as men take it has one for timing and this
quantity I am looking at places in the next day
because of my action I am leading into ST three

English: 
in ST three What is the best award possible Starting
with all heroes So all will be zero here Right
on old Valley of your presents Zero So even latest
Well Lou in Cuche Gerard zero state your action zero
will be one And when you go for the next
next situation okay again you are in now for like
state zero and action zero your resignation will be different
Actually will be actually leading to Ari following No So
this will be repeated positive actions places access leading to
positive reports are getting accumulated Negative rewards are getting accumulated
but negative side whatever it may be Like many sensors
which are detecting what is going on since the state

English: 
in ST three What is the best award possible Starting
with all heroes So all will be zero here Right
on old Valley of your presents Zero So even latest
Well Lou in Cuche Gerard zero state your action zero
will be one And when you go for the next
next situation okay again you are in now for like
state zero and action zero your resignation will be different
Actually will be actually leading to Ari following No So
this will be repeated positive actions places access leading to
positive reports are getting accumulated Negative rewards are getting accumulated
but negative side whatever it may be Like many sensors
which are detecting what is going on since the state

English: 
is that house detective reward reward we have to define
the world Reward is defined by happening How does that
work It's interject So that is what again one of
the ICC can generate What is the best way to
defend a reward for my problem There is no define
like that There is no designated way of saying okay
This is how we how to defend for this problem
out of people doing today like to the orders of
most process that the capture action unleashed menace Inroads say
for example let me see is the standard the problems
where you can see quantitative reward When I buy a
stock What is the DiVall A What is the return
I'm getting by the end of the day is my
reward for the attraction Sure there is formally for a
Braun getting your destination in the reward My moving in
the direction moving foreign foreign to direction to the destination

English: 
is that house detective reward reward we have to define
the world Reward is defined by happening How does that
work It's interject So that is what again one of
the ICC can generate What is the best way to
defend a reward for my problem There is no define
like that There is no designated way of saying okay
This is how we how to defend for this problem
out of people doing today like to the orders of
most process that the capture action unleashed menace Inroads say
for example let me see is the standard the problems
where you can see quantitative reward When I buy a
stock What is the DiVall A What is the return
I'm getting by the end of the day is my
reward for the attraction Sure there is formally for a
Braun getting your destination in the reward My moving in
the direction moving foreign foreign to direction to the destination

English: 
keeps you oriented in isolation So you actually have to
keep the movement on going Okay say for example for
taking deviation The taking deviation will be a trap If
you go okay again we are going to the first
example only because that latest one is in or mine
Whatever happened organise actually put a trap They were like
a lot of flights Fighter jets That was the news
Ray There were a lot of a lot of fighter
jets around Bhopal and other places So in a big
are trapped So what is our likes A loss We
actually spent good amount of resource and field The witness
within the target long term target in the view actually
is a lost little bit in the starting So now
we have to actually defend What is your reward My
The world is reaching the destination hitting the enemy And
that may have like a $1 million as a reward

English: 
keeps you oriented in isolation So you actually have to
keep the movement on going Okay say for example for
taking deviation The taking deviation will be a trap If
you go okay again we are going to the first
example only because that latest one is in or mine
Whatever happened organise actually put a trap They were like
a lot of flights Fighter jets That was the news
Ray There were a lot of a lot of fighter
jets around Bhopal and other places So in a big
are trapped So what is our likes A loss We
actually spent good amount of resource and field The witness
within the target long term target in the view actually
is a lost little bit in the starting So now
we have to actually defend What is your reward My
The world is reaching the destination hitting the enemy And
that may have like a $1 million as a reward

English: 
So learning can happen in two stages Here one is
online or vendor single actually being trained When When Nora
No actually that doesn't happen The online whatever you're saying
actually is part of training the online water You're referring
is actually training That's well I say it takes time
to build the system on the better actually train the
more robust cities We can isolate you What a gnomic
ledger is possible to this baby Because lately have Alexis
surprising learning as part of it And so with the
learning as part of it love lot of ambiguity Okay
And there is a lot in your place to define
right So no the relation good amount of literature around

English: 
So learning can happen in two stages Here one is
online or vendor single actually being trained When When Nora
No actually that doesn't happen The online whatever you're saying
actually is part of training the online water You're referring
is actually training That's well I say it takes time
to build the system on the better actually train the
more robust cities We can isolate you What a gnomic
ledger is possible to this baby Because lately have Alexis
surprising learning as part of it And so with the
learning as part of it love lot of ambiguity Okay
And there is a lot in your place to define
right So no the relation good amount of literature around

English: 
the state this particular algorithm No like say some of
you were You're a skinless hyper parameters and these are
hyper It could be any floating number okay And whatever
she was asking about like keeping track of the morning
in the like competition Actually this is getting accumulated Keeping
track of the learning explanations from me Okay at the
end of the action look at the equation This actually
comes out to be similar to this Thus this also
like independent mint problem of government offices He had also
all those like say bad guys will be coming in
We have to live with it okay And we'll be
introducing some of them This is what the abduction mechanism

English: 
the state this particular algorithm No like say some of
you were You're a skinless hyper parameters and these are
hyper It could be any floating number okay And whatever
she was asking about like keeping track of the morning
in the like competition Actually this is getting accumulated Keeping
track of the learning explanations from me Okay at the
end of the action look at the equation This actually
comes out to be similar to this Thus this also
like independent mint problem of government offices He had also
all those like say bad guys will be coming in
We have to live with it okay And we'll be
introducing some of them This is what the abduction mechanism

English: 
is Q table Ok now there are few parameters the
whole morning it disco ineffective Okay when you actually look
at the equation the max maximum of next state Okay
for all the possible actions you're becoming greedy For all
the actions in the next eight conceive for form action
on yesterday 80 honesty You learn up in a step
left next Eight What is the pie Alexis Best action
in the one You're taking the maximum of the and
then you're giving discount factor You don't want to be
too greedy also but you want to follow that long
term target rate and then world were livers is new
value How much you want to basically take it up
Right Old value This is old value And this is

English: 
is Q table Ok now there are few parameters the
whole morning it disco ineffective Okay when you actually look
at the equation the max maximum of next state Okay
for all the possible actions you're becoming greedy For all
the actions in the next eight conceive for form action
on yesterday 80 honesty You learn up in a step
left next Eight What is the pie Alexis Best action
in the one You're taking the maximum of the and
then you're giving discount factor You don't want to be
too greedy also but you want to follow that long
term target rate and then world were livers is new
value How much you want to basically take it up
Right Old value This is old value And this is

English: 
like a learning rate You may take Alfie Coast one
when you take Alfie Quest one this value and this
really gets cancelled Great And they are going up Going
ahead with the latest are Artie place for that means
your present Yes The values are replaced with Artie Place
for 80 place for So you are becoming more and
more wondrous A short term cited greedy We are not
keeping track of history to a greater extent right So
that we may not want that So he want little
bit of learning happening The what is a history keeping
with you So all fi close to close to one
You're actually saying history doesn't matter to me all for
close to zero History matters to me a lot Then

English: 
like a learning rate You may take Alfie Coast one
when you take Alfie Quest one this value and this
really gets cancelled Great And they are going up Going
ahead with the latest are Artie place for that means
your present Yes The values are replaced with Artie Place
for 80 place for So you are becoming more and
more wondrous A short term cited greedy We are not
keeping track of history to a greater extent right So
that we may not want that So he want little
bit of learning happening The what is a history keeping
with you So all fi close to close to one
You're actually saying history doesn't matter to me all for
close to zero History matters to me a lot Then

English: 
present discount factor How much greedy want to become like
say looking at like next movement I want actually win
I never want to lose even ₹1 Then you're his
con factories One training this model and getting the optimal
numbers is going to be a nightmare when it comes
the competition correct is not so straightforward It takes good
amount of computing power Say for example one reinforcement learning
convergence I mean one model convergence If it is taken
I say one week for 100 parameter combinations Now we
have to take cloud subscription And then and I say
how in no independent manner train all those 100 enforcement
learning models and see like how your system is for
forming and that so actually decide the learning parameter He
held something all great Set right in missile Ernie Okay
So similar A pretty how to follow fear as well

English: 
present discount factor How much greedy want to become like
say looking at like next movement I want actually win
I never want to lose even ₹1 Then you're his
con factories One training this model and getting the optimal
numbers is going to be a nightmare when it comes
the competition correct is not so straightforward It takes good
amount of computing power Say for example one reinforcement learning
convergence I mean one model convergence If it is taken
I say one week for 100 parameter combinations Now we
have to take cloud subscription And then and I say
how in no independent manner train all those 100 enforcement
learning models and see like how your system is for
forming and that so actually decide the learning parameter He
held something all great Set right in missile Ernie Okay
So similar A pretty how to follow fear as well

English: 
but of available library straightforward available average There is no
one There is no library He hot right Your own
rapper Okay And then the main steps in the rocket
there are nine main steps Okay It is someday Like
after actually come the second step for from thought like
3 to 9 that 40 And once we come to
five to elicit fourth step for for 5 to 8
it's actually look for looks Start with initialise all states
and actions Cute Able to zero Okay for all episodes
In the sense Alexei Absurd one I actually in that
episode one I tried to work through set of all
possible states and actions again and again I have my
queue table prepared Now I take that prepared acute table

English: 
but of available library straightforward available average There is no
one There is no library He hot right Your own
rapper Okay And then the main steps in the rocket
there are nine main steps Okay It is someday Like
after actually come the second step for from thought like
3 to 9 that 40 And once we come to
five to elicit fourth step for for 5 to 8
it's actually look for looks Start with initialise all states
and actions Cute Able to zero Okay for all episodes
In the sense Alexei Absurd one I actually in that
episode one I tried to work through set of all
possible states and actions again and again I have my
queue table prepared Now I take that prepared acute table

English: 
as my starting state And again I start next episode
in the Given Officer I say I said my times
to pass on the list 1000 I will be revisiting
different states 1000 times Okay And then next episode against
1000 times like that I'll be action repeating and then
finally make you table will be getting updated This is
what the learning process in now of what is a
Q learning and when he actually look at this queue
learning So it is so simple Actually hard work is
hidden here states And now actions preparation state action states
preparation is hidden That's they're actually all out Blood will
be squeezed Okay The upstairs preparation few learning is not

English: 
as my starting state And again I start next episode
in the Given Officer I say I said my times
to pass on the list 1000 I will be revisiting
different states 1000 times Okay And then next episode against
1000 times like that I'll be action repeating and then
finally make you table will be getting updated This is
what the learning process in now of what is a
Q learning and when he actually look at this queue
learning So it is so simple Actually hard work is
hidden here states And now actions preparation state action states
preparation is hidden That's they're actually all out Blood will
be squeezed Okay The upstairs preparation few learning is not

English: 
everyone No different variants of Q learning Also people No
no no Why People actually don't venture into reinforcement Learning
straight away is there is no framework available alone Some
delays baby problems Except I problems Water We are working
the minute Carrie Machiavellian the industry unless is solved Case
business case rate so many people don't venture into this
reinforcement Learning there are like sparse groups in India One
is Iasi competences and department The hall It's a couple
of guys working there I'd be couple of West working
there Okay The effort Some political people are this but
not implementation level And that's it As far as a
comic in sports are concerned in India people focusing on

English: 
everyone No different variants of Q learning Also people No
no no Why People actually don't venture into reinforcement Learning
straight away is there is no framework available alone Some
delays baby problems Except I problems Water We are working
the minute Carrie Machiavellian the industry unless is solved Case
business case rate so many people don't venture into this
reinforcement Learning there are like sparse groups in India One
is Iasi competences and department The hall It's a couple
of guys working there I'd be couple of West working
there Okay The effort Some political people are this but
not implementation level And that's it As far as a
comic in sports are concerned in India people focusing on

English: 
these areas Unlike say there are a lot of people
who actually associate themselves to R L and severe our
data signed this reason near life They are not practise
NUS They're not political people their neighbours on neither side
two without working with the data Implementation of our l
doesn't make Sens great So you're not on the other
side I mean not practising without getting intellect said that
Mark addition Procession deriving AL guard of political said You
don't have a leave That's what I mean Now let
us start with a simple example More taxi This is

English: 
these areas Unlike say there are a lot of people
who actually associate themselves to R L and severe our
data signed this reason near life They are not practise
NUS They're not political people their neighbours on neither side
two without working with the data Implementation of our l
doesn't make Sens great So you're not on the other
side I mean not practising without getting intellect said that
Mark addition Procession deriving AL guard of political said You
don't have a leave That's what I mean Now let
us start with a simple example More taxi This is

English: 
hell celebrated example like our ideas data set data set
or in reinforcement learning you can call it as I
say It's more taxi and the next one is like
say working in a frozen lake saving yourself when you're
watching in frozen lake Frozen lake not meeting his present
The realism like say or semi solid if you step
onto that one No How do you survive working in
that further like that in the second problem will be
solving So here Smart taxes So here what has to
do is the game in the cyber Agent Asian has
to pick up passenger from more like a cup location
on here above Passengers should be dropped at designated location
for a pick up Now we have to define a
reward for a withdrawal Be hard to define a reward
for with the other action we have to defend a

English: 
hell celebrated example like our ideas data set data set
or in reinforcement learning you can call it as I
say It's more taxi and the next one is like
say working in a frozen lake saving yourself when you're
watching in frozen lake Frozen lake not meeting his present
The realism like say or semi solid if you step
onto that one No How do you survive working in
that further like that in the second problem will be
solving So here Smart taxes So here what has to
do is the game in the cyber Agent Asian has
to pick up passenger from more like a cup location
on here above Passengers should be dropped at designated location
for a pick up Now we have to define a
reward for a withdrawal Be hard to define a reward
for with the other action we have to defend a

English: 
reward is in your hand You're fine right The task
is be hard to pick up a place a passenger
Drop him the and they want They basically teach the
like taxi To do this for the next one is
take care of passenger safety Don't hit any divider or
don't eat any What do you say or yeah okay
This is the problem They say what some of you
are asking Like unknown situation is coming out Door handles
as of no hard to actually fall back to your
old friend K means state aggregation That's it So the
reverse for a very drop for a very proper pick
up hot opposite with some big rewards a very proper
drop out opposite with big award for a minute here
time is important Okay To pick up a new drop

English: 
reward is in your hand You're fine right The task
is be hard to pick up a place a passenger
Drop him the and they want They basically teach the
like taxi To do this for the next one is
take care of passenger safety Don't hit any divider or
don't eat any What do you say or yeah okay
This is the problem They say what some of you
are asking Like unknown situation is coming out Door handles
as of no hard to actually fall back to your
old friend K means state aggregation That's it So the
reverse for a very drop for a very proper pick
up hot opposite with some big rewards a very proper
drop out opposite with big award for a minute here
time is important Okay To pick up a new drop

English: 
next day for like from here to like seek or
Mangala like majestic Okay it's also perfect drop but they
are losing out time issued penalise So for every other
step if they are not reaching the target there should
be some time penalty said the salsa reward that may
be very marginal for the period of time If that
is happening Lissy are actually getting struck So your taxes
getting penalised so he doesn't want to do that activity
again and again I mean same repetition like he may
actually stop at one place on sleep under dis penalised
rate So since his finalist he doesn't want to do
that activity again But all those Alexa penalties now we
have to define seriousness of the penalty Eating the dividers
is serious penalty Okay As of know in the simulation
environment penalties are acquitted 21 David Um when out there
is a penalty it is actually added The reward is

English: 
next day for like from here to like seek or
Mangala like majestic Okay it's also perfect drop but they
are losing out time issued penalise So for every other
step if they are not reaching the target there should
be some time penalty said the salsa reward that may
be very marginal for the period of time If that
is happening Lissy are actually getting struck So your taxes
getting penalised so he doesn't want to do that activity
again and again I mean same repetition like he may
actually stop at one place on sleep under dis penalised
rate So since his finalist he doesn't want to do
that activity again But all those Alexa penalties now we
have to define seriousness of the penalty Eating the dividers
is serious penalty Okay As of know in the simulation
environment penalties are acquitted 21 David Um when out there
is a penalty it is actually added The reward is

English: 
negative One winner proper Passenger is picked up the bodies
dropped and we can actually redefined those things When we're
recording by default these valleys are there so no we
are getting the reward The meaning right So for proper
pick up big a word for proper drop of big
a word roaming around Phillies penalty after picking up If
we're not reaching the distance in shorter time for movie
A Rachael penalising trying to visualise know how the solution
looks like now the hard to say the environment and
then discouraged say for example e r In a parking

English: 
negative One winner proper Passenger is picked up the bodies
dropped and we can actually redefined those things When we're
recording by default these valleys are there so no we
are getting the reward The meaning right So for proper
pick up big a word for proper drop of big
a word roaming around Phillies penalty after picking up If
we're not reaching the distance in shorter time for movie
A Rachael penalising trying to visualise know how the solution
looks like now the hard to say the environment and
then discouraged say for example e r In a parking

English: 
lot he had to visualise your system Okay this is
what I say The rectangle I have in front of
me let me describe is our rectangle into five by
five square The taxi can be in any of this
five by five square Okay The drop of drop and
a pickup locations could be any anywhere in these things
Okay there are four locations It could be drop It
could be pick up as well Now basically if it
is the pickup location This gay has to directly come
here Pick up under drop here any and necessary roaming
this year will be penalised on the middle berth Whatever
we have these are obstacles the house operative And if
a cabbage in the present location verities what it can

English: 
lot he had to visualise your system Okay this is
what I say The rectangle I have in front of
me let me describe is our rectangle into five by
five square The taxi can be in any of this
five by five square Okay The drop of drop and
a pickup locations could be any anywhere in these things
Okay there are four locations It could be drop It
could be pick up as well Now basically if it
is the pickup location This gay has to directly come
here Pick up under drop here any and necessary roaming
this year will be penalised on the middle berth Whatever
we have these are obstacles the house operative And if
a cabbage in the present location verities what it can

English: 
actually do it can actually go north East south It
cannot go west You use like an office So not
so much west north west East are useless Up down
left right So if it actually takes decide it is
serious Negative The report you can redefine And when you
are actually penalising the sort of wrong activities this activities
will not be repeated in future with high probability We
are not penalising Okay This is a lotta mata We
can actually keep it against a mistake So this is
what the environment in new government is now I have
taken the picture I have got the like 55 grid
on top of it Now how many states are possible

English: 
actually do it can actually go north East south It
cannot go west You use like an office So not
so much west north west East are useless Up down
left right So if it actually takes decide it is
serious Negative The report you can redefine And when you
are actually penalising the sort of wrong activities this activities
will not be repeated in future with high probability We
are not penalising Okay This is a lotta mata We
can actually keep it against a mistake So this is
what the environment in new government is now I have
taken the picture I have got the like 55 grid
on top of it Now how many states are possible

English: 
in this one 25 states and there are four locations
to be picked up Okay be 25 on this five
This four in different of five in 25 and there
are four locations you're getting into Tens are No If
a person is in the cab that cab location also
can actually go to any any of these things right
So say for example I'm greedy Federer of sickles right
So of Stoeckle Now of course I can actually increase
the complexity I can increase the complexity That obstacle is
is not in the middle of the road That's what
I'm actually parsing It's actually desert roads of secular is

English: 
in this one 25 states and there are four locations
to be picked up Okay be 25 on this five
This four in different of five in 25 and there
are four locations you're getting into Tens are No If
a person is in the cab that cab location also
can actually go to any any of these things right
So say for example I'm greedy Federer of sickles right
So of Stoeckle Now of course I can actually increase
the complexity I can increase the complexity That obstacle is
is not in the middle of the road That's what
I'm actually parsing It's actually desert roads of secular is

English: 
not in the middle of the road but like if
there are multiple lanes Okay And there is like the
divide Dallas is left Lt right Towns are possible Okay
Alexa some animal is working That is obstacle It can
be in the middle of the road Five agreed And
how Four drop for pickup locations that miss totally have
like 25 into four rate And then once person is
in the cab the passenger is in the cab He
can be anywhere in this location He is big up
here No camp Location also is important rate Cabbies in
0001020 Tree cab location unity Keep track of it And

English: 
not in the middle of the road but like if
there are multiple lanes Okay And there is like the
divide Dallas is left Lt right Towns are possible Okay
Alexa some animal is working That is obstacle It can
be in the middle of the road Five agreed And
how Four drop for pickup locations that miss totally have
like 25 into four rate And then once person is
in the cab the passenger is in the cab He
can be anywhere in this location He is big up
here No camp Location also is important rate Cabbies in
0001020 Tree cab location unity Keep track of it And

English: 
it is actually moving in one dimension In one diversity
hall I say five grids You already have one like
X axis The cab is access It can help Five
values Let Mrs how it is Say for example my
what I say I'm in Jersey Reallocation Let Mr the
least one left hand Side bottom is 00 Fine And
then the person who is like say whether passenger is
there are not not passionate Pick up location is there
are not zero or one Let me say his desk

English: 
it is actually moving in one dimension In one diversity
hall I say five grids You already have one like
X axis The cab is access It can help Five
values Let Mrs how it is Say for example my
what I say I'm in Jersey Reallocation Let Mr the
least one left hand Side bottom is 00 Fine And
then the person who is like say whether passenger is
there are not not passionate Pick up location is there
are not zero or one Let me say his desk

English: 
rate And then here it could be Cab Cab is
there are not This are be on location locations Passenger
can get into the getting to cap at these locations
Get out off for cabin at these locations This is
one This is one This is one and this is
one These are not in my next one It will
be clear So now he actually tried to say for
example If it is here I am here The cab
can be here are here So when I am here
capitation I'm looking at when I am here What is
a cab Location Cab location cab location cab location Okay
expertly wanted the Y Value values Cab location I defy

English: 
rate And then here it could be Cab Cab is
there are not This are be on location locations Passenger
can get into the getting to cap at these locations
Get out off for cabin at these locations This is
one This is one This is one and this is
one These are not in my next one It will
be clear So now he actually tried to say for
example If it is here I am here The cab
can be here are here So when I am here
capitation I'm looking at when I am here What is
a cab Location Cab location cab location cab location Okay
expertly wanted the Y Value values Cab location I defy

English: 
into 25 Because this for the location for locations 24
pieces will be There are not the choices And Gerard
one Okay Forces like cab can go There are not
other person is there are not say I am here
X axis Okay now I am action looking at the
Y axis where the cab cab could be at 00
cap Could be at 01 Your acceptance is fixed You
are fixing X axis Very would like cabin of access
Okay They're like the independent Release a five I am
saying I say when I am in this place Where
the cab Okay whether it is in German 011012013 are
not a Sarno Five valleys of possible next one Okay
I'm fixing the x axis actually for cap 25 valleys

English: 
into 25 Because this for the location for locations 24
pieces will be There are not the choices And Gerard
one Okay Forces like cab can go There are not
other person is there are not say I am here
X axis Okay now I am action looking at the
Y axis where the cab cab could be at 00
cap Could be at 01 Your acceptance is fixed You
are fixing X axis Very would like cabin of access
Okay They're like the independent Release a five I am
saying I say when I am in this place Where
the cab Okay whether it is in German 011012013 are
not a Sarno Five valleys of possible next one Okay
I'm fixing the x axis actually for cap 25 valleys

English: 
of possible in one of these 25 locations It can
be there Okay now say for example if I six
xx is at 00 on accepted zero whether it is
there now I have only five by values Mary Okay
So that's why I am taking like five So in
fact I can actually go a little more complex I
can actually defend Likes a lot more things Okay This
is a simplest grid I can define simplistically I can
defend from here on words I can actually say Like
one dimension is this is like X Why This is
like the passenger location Okay And this could be taxi
location right Four dimensions Agree with me No I can

English: 
of possible in one of these 25 locations It can
be there Okay now say for example if I six
xx is at 00 on accepted zero whether it is
there now I have only five by values Mary Okay
So that's why I am taking like five So in
fact I can actually go a little more complex I
can actually defend Likes a lot more things Okay This
is a simplest grid I can define simplistically I can
defend from here on words I can actually say Like
one dimension is this is like X Why This is
like the passenger location Okay And this could be taxi
location right Four dimensions Agree with me No I can

English: 
actually get into like save this to make it more
spicy I can isolate sale Except this cab can be
in any of these things of five independent variables Five
independent degrees Let Mr 25 degrees Okay I'm actually increasing
the complexity Okay let me said now I have only
this ministates home ministers That will come Simple problem 500
states And in fact here we actually reduced the complexity
if you actually go for the complex And I said
yes I want to Basically I don't want to fish
this location Also I want to basically get like say
all the coordinates without any aggregation LG It's not 502,500
states or that action is not defined Actually you can
actually defined legs because there is no law and discipline

English: 
actually get into like save this to make it more
spicy I can isolate sale Except this cab can be
in any of these things of five independent variables Five
independent degrees Let Mr 25 degrees Okay I'm actually increasing
the complexity Okay let me said now I have only
this ministates home ministers That will come Simple problem 500
states And in fact here we actually reduced the complexity
if you actually go for the complex And I said
yes I want to Basically I don't want to fish
this location Also I want to basically get like say
all the coordinates without any aggregation LG It's not 502,500
states or that action is not defined Actually you can
actually defined legs because there is no law and discipline

English: 
of secular is actually in the middle not in the
middle of the road It is actually in the side
Yeah we can actually defeat lot of actions but we
need to change the Dallas eco system In that case
say for example in the simulation mode this is of
it will be the a Lebanese job The 11 is
the cab in a jumping all over the place for
everything Whenever it actually comes to or like say the
pick up or drop location The reward is then you
can redefine other ways Everybody is like say minus one
If you are not at one of these four locations
reward is minus Want If there is one of these
four locations let's say there is a 5.5 rate Yes
the passenger is at location one Yes the cab is
at another location is so we are looking at the
possible five by five makes and sidle The cab is

English: 
of secular is actually in the middle not in the
middle of the road It is actually in the side
Yeah we can actually defeat lot of actions but we
need to change the Dallas eco system In that case
say for example in the simulation mode this is of
it will be the a Lebanese job The 11 is
the cab in a jumping all over the place for
everything Whenever it actually comes to or like say the
pick up or drop location The reward is then you
can redefine other ways Everybody is like say minus one
If you are not at one of these four locations
reward is minus Want If there is one of these
four locations let's say there is a 5.5 rate Yes
the passenger is at location one Yes the cab is
at another location is so we are looking at the
possible five by five makes and sidle The cab is

English: 
at the place where the passenger standing can be in
any of the other 24 positions Okay so the total
thing this fine by five I want to print this
particular scenario So where the cab is that Where is
the passengers I'll come to the away The cabbie's let
me say that is on index 11 This 13 Xs
one the in any convention is coming from bottom to
top our top to bottom I have 11 and then
hold a different camp I am I say this is
the location Okay once I have this or location No
cab location Is this okay The desert abdication I have

English: 
at the place where the passenger standing can be in
any of the other 24 positions Okay so the total
thing this fine by five I want to print this
particular scenario So where the cab is that Where is
the passengers I'll come to the away The cabbie's let
me say that is on index 11 This 13 Xs
one the in any convention is coming from bottom to
top our top to bottom I have 11 and then
hold a different camp I am I say this is
the location Okay once I have this or location No
cab location Is this okay The desert abdication I have

English: 
to not offend the passenger location If passenger is inside
the cab if passenger is inside the cab okay And
then how do I actually not give the notation Gerard
one Whether he is inside the cab or he is
not inside the cab Right The destination Now the destination
could be any of the 24 Because if that one
cover of under cab is their place take this case
one Come on The curve is there The passenger is
also they're the same one Cover one Come of 11
indicates the passenger is in the camp Okay now and
now the cap can go to any of the places
now instead of all the before You said there are
only for other application giving Limited limited The destinations are
starting positions So then we can indicate that the destination

English: 
to not offend the passenger location If passenger is inside
the cab if passenger is inside the cab okay And
then how do I actually not give the notation Gerard
one Whether he is inside the cab or he is
not inside the cab Right The destination Now the destination
could be any of the 24 Because if that one
cover of under cab is their place take this case
one Come on The curve is there The passenger is
also they're the same one Cover one Come of 11
indicates the passenger is in the camp Okay now and
now the cap can go to any of the places
now instead of all the before You said there are
only for other application giving Limited limited The destinations are
starting positions So then we can indicate that the destination

English: 
is in any of those four locations that Mrs you
have like five by five This is great These are
four locations Four locations Okay on now once Like cash
injuries inside the job No this is actually just location
four locations Okay once passenger is inside the cab okay
Year have fixed one dimension He is inside the cab
He has to go from here to here of here
to hear right So your X axis one damages are
fixing It is something like when you say you are
extra next to Yeah India writing now Hyper plane X

English: 
is in any of those four locations that Mrs you
have like five by five This is great These are
four locations Four locations Okay on now once Like cash
injuries inside the job No this is actually just location
four locations Okay once passenger is inside the cab okay
Year have fixed one dimension He is inside the cab
He has to go from here to here of here
to hear right So your X axis one damages are
fixing It is something like when you say you are
extra next to Yeah India writing now Hyper plane X

English: 
one place on Let Mr Expanding Coastal Extra Policy have
fixed Expert What is expand Forgiven Extra It's hyper plane
Once he picked up passengers were ever going from Decide
to the side decide to the side only 55 positions
are possible You're fixing one Say for example if I
pick up the passenger here it can go decide five
locations on this Certify locations 25 positions are possible He
said that 5% and giving you 24 positions of passport
He can go left right Those left down up down
left Left right up down Those things are actually we
are getting from here Okay The thing What We actually
have to see his maximum number of states persist Water

English: 
one place on Let Mr Expanding Coastal Extra Policy have
fixed Expert What is expand Forgiven Extra It's hyper plane
Once he picked up passengers were ever going from Decide
to the side decide to the side only 55 positions
are possible You're fixing one Say for example if I
pick up the passenger here it can go decide five
locations on this Certify locations 25 positions are possible He
said that 5% and giving you 24 positions of passport
He can go left right Those left down up down
left Left right up down Those things are actually we
are getting from here Okay The thing What We actually
have to see his maximum number of states persist Water

English: 
The minimum number of tears possible What are the minimum
number of stress possible If you actually look at this
hyper plane X 26 to 2 dimensions five by five
Okay No we are say like expanding Costa extra policy
That is a hyper plane Okay what is the hyper
pain dimension It is one he started with to dimension
X X two hyper plane in any dimension is one
minus one If dimension of your spaces in hyper print
will be in Anna and minus one know why it
is actually coming out to be five is if you
picked up here the maximum number of possibilities can actually
move this side decide Picked up location is one and
rest of the four possibilities of four places 1234 Of
course it actually hits obstacle So it has to come

English: 
The minimum number of tears possible What are the minimum
number of stress possible If you actually look at this
hyper plane X 26 to 2 dimensions five by five
Okay No we are say like expanding Costa extra policy
That is a hyper plane Okay what is the hyper
pain dimension It is one he started with to dimension
X X two hyper plane in any dimension is one
minus one If dimension of your spaces in hyper print
will be in Anna and minus one know why it
is actually coming out to be five is if you
picked up here the maximum number of possibilities can actually
move this side decide Picked up location is one and
rest of the four possibilities of four places 1234 Of
course it actually hits obstacle So it has to come

English: 
in this phase and coming this side the maximum by
well is possible for this one or 024 Once I
fix X that's exactly what happens in hyper playing Yes
I can actually worry about all 25 that extra likes
it duplicate feature I can add And in that case
I can actually end up with 2500 states 2500 states
Island up it Okay I don't need to have those
2500 states with just 500 states I can actually replicate
That's what I mean by okay If I have this
500 states what will happen Okay now this is what
life's a simulation It actually cabinets actual moving in all
directions all possible directions Okay On respectively Like say if

English: 
in this phase and coming this side the maximum by
well is possible for this one or 024 Once I
fix X that's exactly what happens in hyper playing Yes
I can actually worry about all 25 that extra likes
it duplicate feature I can add And in that case
I can actually end up with 2500 states 2500 states
Island up it Okay I don't need to have those
2500 states with just 500 states I can actually replicate
That's what I mean by okay If I have this
500 states what will happen Okay now this is what
life's a simulation It actually cabinets actual moving in all
directions all possible directions Okay On respectively Like say if

English: 
you are explicating other reward our penalty I'm in negatively
bodies Penalty Nixon's So So when are we are actually
moving from one location to another one This is what
your queue table is getting updated with Okay enough You
start irrefutable Jarabulus right And then for every episode and
designated time a number of for time steps actually start
updating your table with the formula Whatever we actually started
with the of the city cause Tokyo for the place

English: 
you are explicating other reward our penalty I'm in negatively
bodies Penalty Nixon's So So when are we are actually
moving from one location to another one This is what
your queue table is getting updated with Okay enough You
start irrefutable Jarabulus right And then for every episode and
designated time a number of for time steps actually start
updating your table with the formula Whatever we actually started
with the of the city cause Tokyo for the place

English: 
You're learning rate with all that masala it under sort
like this particular use cases No Let us go to
the what do you say The simulation and see how
it exactly works Can we please open this notebook and
by the West If you want to implement this one
on your own without any framework it will consume time
But it's not too difficult Cheque up to pick up
and drop Passenger said their lives right locations with Okay
so we're not clearly saying Like say this is pick
up on this is our drop Okay What we are
actually two in total is when every touch bases with
one of these The data points I mean one of

English: 
You're learning rate with all that masala it under sort
like this particular use cases No Let us go to
the what do you say The simulation and see how
it exactly works Can we please open this notebook and
by the West If you want to implement this one
on your own without any framework it will consume time
But it's not too difficult Cheque up to pick up
and drop Passenger said their lives right locations with Okay
so we're not clearly saying Like say this is pick
up on this is our drop Okay What we are
actually two in total is when every touch bases with
one of these The data points I mean one of

English: 
these locations awarding In fact this is not a full
fledged or implementation I should call when Nuri actually pick
up Only drop is possible We had to actually get
all those logics incorporated No So you can like say
instal the volume using of the pistol between stall Jim
The spot actually did rate and it works it of
by country It works very well Python 3.500 Book on
Fight on to Also it works but I hardly used
fightin to And Jim Now I am loading this taxi

English: 
these locations awarding In fact this is not a full
fledged or implementation I should call when Nuri actually pick
up Only drop is possible We had to actually get
all those logics incorporated No So you can like say
instal the volume using of the pistol between stall Jim
The spot actually did rate and it works it of
by country It works very well Python 3.500 Book on
Fight on to Also it works but I hardly used
fightin to And Jim Now I am loading this taxi

English: 
in your arraignment when I logged this tax and your
government It is actually giving me the states and actions
Description What an all states What general actions for Donald
reports I mentioned Okay that is the information I'm actually
getting Okay so for some of the problems no actually
it is the protective people started off loading Even this
so human I'd rober working that environment Also people actually
uploaded know Jim And then So I am visiting it
to a particular Lexie random step because cab can be
any of the 25 locations so I am descending into
a particular location Okay By the way when you actually

English: 
in your arraignment when I logged this tax and your
government It is actually giving me the states and actions
Description What an all states What general actions for Donald
reports I mentioned Okay that is the information I'm actually
getting Okay so for some of the problems no actually
it is the protective people started off loading Even this
so human I'd rober working that environment Also people actually
uploaded know Jim And then So I am visiting it
to a particular Lexie random step because cab can be
any of the 25 locations so I am descending into
a particular location Okay By the way when you actually

English: 
look at these the states the states they are not
not a printed with coordinates they are actually given numbers
0124 99 Okay so the state what we are explicating
is 201 or that was a layer one Okay Now
cabbies at the third location Number of four elements in
observation space Number of states 500 Okay on Know if
actually see the state This three state is actually coming
out here Okay three State is offended like this I
was actually one step ahead I was actually reading about
previous one Okay No for this the state is three
In a way We already rendered this I'll removed the

English: 
look at these the states the states they are not
not a printed with coordinates they are actually given numbers
0124 99 Okay so the state what we are explicating
is 201 or that was a layer one Okay Now
cabbies at the third location Number of four elements in
observation space Number of states 500 Okay on Know if
actually see the state This three state is actually coming
out here Okay three State is offended like this I
was actually one step ahead I was actually reading about
previous one Okay No for this the state is three
In a way We already rendered this I'll removed the

English: 
possible actions are zero down one of right to left
Three pick up for drop Five 012 five Totally six
actions possible So now if you see number of actions
possible six and number of states 100 Let me take
Lexie Let me state too 114 Okay One The state
would look like the cabins and dislocation Okay No When
actually of door they say What did the next eight
when my presence That is one What is the next

English: 
possible actions are zero down one of right to left
Three pick up for drop Five 012 five Totally six
actions possible So now if you see number of actions
possible six and number of states 100 Let me take
Lexie Let me state too 114 Okay One The state
would look like the cabins and dislocation Okay No When
actually of door they say What did the next eight
when my presence That is one What is the next

English: 
date Okay action It is not my my present status
Three I started with President City Coastal three for forming
action 10125 I am for forming the action one Then
what is the resulting state The reward The destination No
we are not based And then the other things like
the probability 1.0 Those are like say we're always for
the debugging as of no they don't carry much information
You can actually start adding you were brought debugging information
there Okay Say for example if I say action Eco's

English: 
date Okay action It is not my my present status
Three I started with President City Coastal three for forming
action 10125 I am for forming the action one Then
what is the resulting state The reward The destination No
we are not based And then the other things like
the probability 1.0 Those are like say we're always for
the debugging as of no they don't carry much information
You can actually start adding you were brought debugging information
there Okay Say for example if I say action Eco's

English: 
too five Okay action cause to four minus 100 Asari
minus tan So we are seriously penalising Probably hit the
world with this action rate So action Icos two for
the 1st 2 pick up Okay that was not possible
So you're basically or missing something there No How good
does the behaving randomly Help for example I don't get
into the queue learning percent I have like state and
I'm putting the counter and I have a reward The
AM emptied it Okay I started point location Let me
put some more 1010 steps 1000 steps on See whether

English: 
too five Okay action cause to four minus 100 Asari
minus tan So we are seriously penalising Probably hit the
world with this action rate So action Icos two for
the 1st 2 pick up Okay that was not possible
So you're basically or missing something there No How good
does the behaving randomly Help for example I don't get
into the queue learning percent I have like state and
I'm putting the counter and I have a reward The
AM emptied it Okay I started point location Let me
put some more 1010 steps 1000 steps on See whether

English: 
I will be able to reach the destination on what
would be the river like reward to reach the destination
pick a pond and drop Okay in home Any time
steps I am setting toy election Max 1000 in Home
Minister um steps will be actually able to pick up
the passenger and drop him And what is my reward
So just wind up red is unify to reform I
you you be setting those When we loaded the tax
free environment all these things have reloaded We have to
write it on our own So what I'm saying is
unless rewarded Coastal 20 on actually keep on going This
one okay till I actually get the final destination Okay
In home Minister Syed A solve this one in 562

English: 
I will be able to reach the destination on what
would be the river like reward to reach the destination
pick a pond and drop Okay in home Any time
steps I am setting toy election Max 1000 in Home
Minister um steps will be actually able to pick up
the passenger and drop him And what is my reward
So just wind up red is unify to reform I
you you be setting those When we loaded the tax
free environment all these things have reloaded We have to
write it on our own So what I'm saying is
unless rewarded Coastal 20 on actually keep on going This
one okay till I actually get the final destination Okay
In home Minister Syed A solve this one in 562

English: 
steps amusing while Look So there is no limit on
the steps but in general for the next if this
even am doing it took 2126 steps to pick up
a passenger and drop him Okay And now let us
get into Q learning way of doing things so I
can actually so winner you are not actually dropping the
passengers Reward is not 20 When you are speaking of
the passenger it is taking rewarded When are hitting the
world You would reward is minus tan So when you're
hitting the wordy coastal 20 that monsieur abusing the destination
Okay I shall click that those three quickly the like
Everybody question 20 I am saying like whether he had
dropped it or not properly to setting into zero zero's
And then I'm saying like the number of sorts let

English: 
steps amusing while Look So there is no limit on
the steps but in general for the next if this
even am doing it took 2126 steps to pick up
a passenger and drop him Okay And now let us
get into Q learning way of doing things so I
can actually so winner you are not actually dropping the
passengers Reward is not 20 When you are speaking of
the passenger it is taking rewarded When are hitting the
world You would reward is minus tan So when you're
hitting the wordy coastal 20 that monsieur abusing the destination
Okay I shall click that those three quickly the like
Everybody question 20 I am saying like whether he had
dropped it or not properly to setting into zero zero's
And then I'm saying like the number of sorts let

English: 
me actually run only once So keeping it likes a
reward The accumulated G Costa zero and then learning pyramid
in all five coast 2.6 some number and starting with
okay And then you see here my Garma the discount
parameter I'm taking it as one in my education only
all five I am ready wearing other ways This is
the same equation What we are actually having right There
is no deviation So for episode I am saying like
say well rewarded not a coast to 20 Take the
action You're actually this is the state Take the action
Best action from the table And then you're saying like
say environment not step of action Distraction And for that
bit destruction What For the reward you are repeating it

English: 
me actually run only once So keeping it likes a
reward The accumulated G Costa zero and then learning pyramid
in all five coast 2.6 some number and starting with
okay And then you see here my Garma the discount
parameter I'm taking it as one in my education only
all five I am ready wearing other ways This is
the same equation What we are actually having right There
is no deviation So for episode I am saying like
say well rewarded not a coast to 20 Take the
action You're actually this is the state Take the action
Best action from the table And then you're saying like
say environment not step of action Distraction And for that
bit destruction What For the reward you are repeating it

English: 
till your devotees 20 again is by lucre Can actually
put time storm 1000 times 1000 times steps counter Great
So by insist it is 1 87 on final status
we print their funds for 90 for 75 What The
reward total The world minus five on it is very
bad that Miss I took lot of time Okay I
took a lot of time I actually trained the system
only once Episode E questo one I did not train

English: 
till your devotees 20 again is by lucre Can actually
put time storm 1000 times 1000 times steps counter Great
So by insist it is 1 87 on final status
we print their funds for 90 for 75 What The
reward total The world minus five on it is very
bad that Miss I took lot of time Okay I
took a lot of time I actually trained the system
only once Episode E questo one I did not train

English: 
multiple times I trained only once If Saudi Coast one
once the passenger was picked up and he was dropped
That's it So what I am actually now going to
do is I am going to set if swords Okay
now we started with minus 77 reward And finally we
are likely model unstable with like say reward value Okay
now we got our suitable prepared cute capable prepared We
actually run 2000 wicket rations Okay No letter See whether
we are able to pick up and drop Okay So
what we are doing is I'm picking up stated coastal

English: 
multiple times I trained only once If Saudi Coast one
once the passenger was picked up and he was dropped
That's it So what I am actually now going to
do is I am going to set if swords Okay
now we started with minus 77 reward And finally we
are likely model unstable with like say reward value Okay
now we got our suitable prepared cute capable prepared We
actually run 2000 wicket rations Okay No letter See whether
we are able to pick up and drop Okay So
what we are doing is I'm picking up stated coastal

English: 
environment dot Okay Whether we are done No we are
saying like she not done done Not e questo True
action in questo The best action of the given state
Okay And using this action now your environment is giving
the next eight Okay next date the respective reward whether
we have reached the destination or not done or not
Okay Earlier we were actually comparing rewarded question 20 devotee
Question 20 are done in Costa True You're done or
not So he said the system and then noisy cab

English: 
environment dot Okay Whether we are done No we are
saying like she not done done Not e questo True
action in questo The best action of the given state
Okay And using this action now your environment is giving
the next eight Okay next date the respective reward whether
we have reached the destination or not done or not
Okay Earlier we were actually comparing rewarded question 20 devotee
Question 20 are done in Costa True You're done or
not So he said the system and then noisy cab

English: 
is here Okay It is asked to actually move Not
more north There is it can it could not move
It could not go a poured under the next one
Is it Mood picked up Okay And then the action
you're at the place Picked up the passengers Action Okay
And after that it is asking like said to move
south Okay And then it is asking to move west
west no south south and then finally drop off Okay
you're actually defending the environment And seven actually trained with
101 episode He was not actually it did not actually

English: 
is here Okay It is asked to actually move Not
more north There is it can it could not move
It could not go a poured under the next one
Is it Mood picked up Okay And then the action
you're at the place Picked up the passengers Action Okay
And after that it is asking like said to move
south Okay And then it is asking to move west
west no south south and then finally drop off Okay
you're actually defending the environment And seven actually trained with
101 episode He was not actually it did not actually

English: 
for from So Well of course we did not tested
in this phase but as soon as he actually did
door the beautiful learning The cab is a will to
actually do it sub and it looks very very simple
But if you see the complexity that defending the number
of states each state now we have to select a
water the possible actions on based on that now we
have to defend the reward rate whether we want to
go ahead with 500 states Are you want to go
ahead with 2 25 100 states and then you basically
defending What towards based on the if so also category
of states reward is minus one sewn for category of
states rewarded Kohstuh biggest Okay now let me a clear
little more of a spice to this one So we

English: 
for from So Well of course we did not tested
in this phase but as soon as he actually did
door the beautiful learning The cab is a will to
actually do it sub and it looks very very simple
But if you see the complexity that defending the number
of states each state now we have to select a
water the possible actions on based on that now we
have to defend the reward rate whether we want to
go ahead with 500 states Are you want to go
ahead with 2 25 100 states and then you basically
defending What towards based on the if so also category
of states reward is minus one sewn for category of
states rewarded Kohstuh biggest Okay now let me a clear
little more of a spice to this one So we

English: 
have this fund here right Dani question not a coastal
True What I try to do is if done Arctic
coastal troops on rewarded Costa zero ar Ramadi close to
minus one Okay I want to basically finalise it to
higher number if the world call too Like save minus
one rewarding quiz to minus 100 I am penalising a
lot okay for not doing the activity correctly I am

English: 
have this fund here right Dani question not a coastal
True What I try to do is if done Arctic
coastal troops on rewarded Costa zero ar Ramadi close to
minus one Okay I want to basically finalise it to
higher number if the world call too Like save minus
one rewarding quiz to minus 100 I am penalising a
lot okay for not doing the activity correctly I am

English: 
rewriting this one Okay so let me get this queue
table again So I'm insulating you Table 20 If the
source I'm setting into two Italian Sea initially started doing
badly and over the period of time it actually started
learning Okay no less Mrs What in the initial state
now as it is doing very well it actually started
with This is essential pick up intial of picked up
and then immediately moved up said Because my penalty is

English: 
rewriting this one Okay so let me get this queue
table again So I'm insulating you Table 20 If the
source I'm setting into two Italian Sea initially started doing
badly and over the period of time it actually started
learning Okay no less Mrs What in the initial state
now as it is doing very well it actually started
with This is essential pick up intial of picked up
and then immediately moved up said Because my penalty is

English: 
I am actually seriously penalising the way for doing the
for not doing the activity Now say for example instead
of 202,000 episodes let me set absurd request 100 because
number of officers then you're increasing It is expensive Compositionally
that miss it if source e questo 100 literacy Hawgood
It will be now since it won't the straight away
We were actually very happy now is it year here
And it is asking to go west on But it
cannot go west because there is ball there When you're

English: 
I am actually seriously penalising the way for doing the
for not doing the activity Now say for example instead
of 202,000 episodes let me set absurd request 100 because
number of officers then you're increasing It is expensive Compositionally
that miss it if source e questo 100 literacy Hawgood
It will be now since it won't the straight away
We were actually very happy now is it year here
And it is asking to go west on But it
cannot go west because there is ball there When you're

English: 
here you cannot actually suggest west There is evolve So
it is standing there Only an e c on those
actions have repeated repeated infinite loop No it could not
solve the problem Even after licences 100 episodes It actually
guard into a loop it could not solve Let me
actually penalise Lis See what happens are in fact the
state Maybe I contain the state With 100 episodes we

English: 
here you cannot actually suggest west There is evolve So
it is standing there Only an e c on those
actions have repeated repeated infinite loop No it could not
solve the problem Even after licences 100 episodes It actually
guard into a loop it could not solve Let me
actually penalise Lis See what happens are in fact the
state Maybe I contain the state With 100 episodes we

English: 
are not able to get the solve the problem It
is still there only at me We are not able
to actually converge when a hard number of every source
e questo small No it's not able to actually solve
the problem It is getting stuck at some place now
left me stuff 100 That Mrs 1000 Weather we will
be able to do Yeah life Any of these four
locations starting one If you visit one as a pick
up it can visit any of this four locations that

English: 
are not able to get the solve the problem It
is still there only at me We are not able
to actually converge when a hard number of every source
e questo small No it's not able to actually solve
the problem It is getting stuck at some place now
left me stuff 100 That Mrs 1000 Weather we will
be able to do Yeah life Any of these four
locations starting one If you visit one as a pick
up it can visit any of this four locations that

English: 
will be pick up any of this four locations after
that Okay Once Once he pick up it has to
go to other locations for the drop And where are
those obstacles put in here Sorry Mr Part No In
the court of where did we mentioned those Okay so
that reports say for example let me Actually I understand
your question Okay I actually got slightly deviated the obstacles
and we actually mentioned we are talking about states Right
Venom in a particular state here like Sylvester is not
possible Where did women shingles the environment We loaded the
environment Be loaded Okay That is where we mentioned we
don't We don't mention the environment already mentioned and gave

English: 
will be pick up any of this four locations after
that Okay Once Once he pick up it has to
go to other locations for the drop And where are
those obstacles put in here Sorry Mr Part No In
the court of where did we mentioned those Okay so
that reports say for example let me Actually I understand
your question Okay I actually got slightly deviated the obstacles
and we actually mentioned we are talking about states Right
Venom in a particular state here like Sylvester is not
possible Where did women shingles the environment We loaded the
environment Be loaded Okay That is where we mentioned we
don't We don't mention the environment already mentioned and gave

English: 
us So this is like a prion government loaded here
When you take East Action State will be there only
But you're getting finalist Okay well I say we were
actually hitting western west They're only are standing So when
he said taxi iPhone we told that's environment with those
already loaded in Exactly And now as a data scientist
what is our valued or valued is creating these environments
solving Once we have an environment I mean to say
one See how states properly defined the words defined actions
Defined solving is three learning That's it Very simple Right
But preparing this one preparing that environment is like a
problem dependent water environment I prepared for my problem You

English: 
us So this is like a prion government loaded here
When you take East Action State will be there only
But you're getting finalist Okay well I say we were
actually hitting western west They're only are standing So when
he said taxi iPhone we told that's environment with those
already loaded in Exactly And now as a data scientist
what is our valued or valued is creating these environments
solving Once we have an environment I mean to say
one See how states properly defined the words defined actions
Defined solving is three learning That's it Very simple Right
But preparing this one preparing that environment is like a
problem dependent water environment I prepared for my problem You

English: 
may not be able to use it Okay that is
the challenge Be hard to limited in a sea of
the data in the new government Looks like we are
in this problem Yes we can actually go to the
likes of open the open a gym Complete source code
is available Yeah be actually loaded from Open J year
Open a gym Say for example Opener Jim get hub
All the source code amid think is available Okay Completing
his open source And now people actually What if you
want to redefine s if you want to defend your
own in Iran Mint in love's What people are doing

English: 
may not be able to use it Okay that is
the challenge Be hard to limited in a sea of
the data in the new government Looks like we are
in this problem Yes we can actually go to the
likes of open the open a gym Complete source code
is available Yeah be actually loaded from Open J year
Open a gym Say for example Opener Jim get hub
All the source code amid think is available Okay Completing
his open source And now people actually What if you
want to redefine s if you want to defend your
own in Iran Mint in love's What people are doing

English: 
is the existing environment is adopted like the taxi environment
I take and then new modifications for my my own
data Okay because already like say how states and action
states actions and rivers to be combined is already defined
in this one So let me take that as a
template and can do it for my problem So he
certainly want to use framework This framework he had to
define you had to modify it that way But the
best way is right or on no of what it
states and actions outside that will have for better control
We hope you like this complete tutorial on machine learning
and Piper Great learning offers high quality impactful and industries
relevant programmes to working professionals like you Our faculty polls

English: 
is the existing environment is adopted like the taxi environment
I take and then new modifications for my my own
data Okay because already like say how states and action
states actions and rivers to be combined is already defined
in this one So let me take that as a
template and can do it for my problem So he
certainly want to use framework This framework he had to
define you had to modify it that way But the
best way is right or on no of what it
states and actions outside that will have for better control
We hope you like this complete tutorial on machine learning
and Piper Great learning offers high quality impactful and industries
relevant programmes to working professionals like you Our faculty polls

English: 
comprises of leading academicians and industry of practitioners in the
field of Data Analytics For more information checked the links
in the description down the law don't forget to like
share and subscribe Remember the only learning that matters is
great learning Siona next

English: 
comprises of leading academicians and industry of practitioners in the
field of Data Analytics For more information checked the links
in the description down the law don't forget to like
share and subscribe Remember the only learning that matters is
great learning Siona next
