Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset

[@aakritiroy7336]

After so much of struggle with my LMS, I was finally able to understand entire EDA in within 30 minutes. Thank you.🙏👍

[@bhadrakadabra]

Is it the inmovidu one?

[@ytg6663]

What ia LMS

[@ONE-THING-2RAY]

@@ytg6663 learning machine shorts

[@shinosukenohara.123]

@@ONE-THING-2RAY Where it is?

[@akashravindra..]

@@ytg6663 Learning Management System

[@VVV-wx3ui]

Doing a job that of True Guru, Ekalavyas are all around and raring for such knowledge-impartation. Thanks much Krish.

[@Esha25ghosh]

You are awesome sir! Not only are you a great mentor, but also a great motivator. Thanks for all the great work you have been doing. Stay blessed!

[@chaos8514]

I am learning this for data analyst but not sure what more should I learn to get job asap.. if you can help please we can connect on instagram

[@classicemmaeasy2292]

Me trying to understand data analysis with python couple of days ago now U actually make it simpler and beginners friendly, more unction to function sir

[@souvikdas3905]

What a beautiful video for a beginner who is just getting his hands on data science.

[@aayushshukla342]

Loved the video; in fact, the entire playlist gives an amazing approach to the intricacies of Machine Learning. Thank you, Sir.

[@thePrabhuChannel]

21:30 Median of the passenger age travelling in each Pclass can be calculated using below code instead of looking at boxplot and guessing the number. df[df['Pclass']==1]['Age'].median() df[df['Pclass']==2]['Age'].median() df[df['Pclass']==3]['Age'].median()

[@viveksingh881]

good one brother i was thinking the same y to guess it when we can actually calculate it,....

[@tusharmahuri2439]

There is a error comes when I want to use sns.countplot. And the error is "could not interpret input 'survived' "

[@yashikaarora8573]

@@tusharmahuri2439 bro copy the heads from the data set and not just type, the language is case sensitive it is 'Survived' and not 'survived'

[@sunnychandra5064]

You have actually cleared the EDA concept for me, Thanks a lot !!

[@ShivamChaudhary-jn4kw]

why 0 and 1 is taken in cols as the indexing of the column is 2 and 5 then why 0 and 1 is taken can you clear

[@aliakbarrayhan6389]

Sir I'm very impressed to see your such amazing video.. Though I am very weak in programming but now I feel like that i should start my programming journey again cause i have someone like u who can explains anything in very simple way

[@PiyushSingh-cq2xv]

This is one of the best data set being used to understand how to fix the nulls. Great Job and thank you .

[@vital4statistix]

Krish, This material is FIRST CLASS. Appreciate it very much.

[@imranullah7355]

Thanks a lot Sir... You've expailed it in a great way... Love from Pakistan

[@sudeeprajput1830]

You are amazing brother. Your videos are helping me gain confidence in ML. Keep up the good work

[@ManishKumar-gg2vm]

awesome explain ...........I really can't stop myself to comment on this video...……...on of the grt video on data visualization

[@sowjanyadharmavarapu2653]

sir i really liked your video.. but according to road map video, you asked us to watch python 1-24 lectures first..in this eda concept, you have mentioned some new words like get_dummies, and few other new words.. stuck with the last 10 mins explaination.. else everything is really clear and understandable.. thanks for all the efforts...

[@dynamictechnocrat]

Get dummy are use in pandas

[@ashridas9896]

It is basically one - hot encoding.. Encoding techniques are used to convert categorical data into numerical data Since it is applied on 'Embarked' column kzbin.info/www/bejne/hYWzq2imobCVapI

[@aination7302]

Both imputing and dropping missing values (NaN) is not a good practice with real world data. The ideal way is to derive a new field indicating missing values. 1 for missing else 0. because, sometimes missing value can be a new information in itself. just sharing some learning from my job :)

[@okonvictor8711]

Hi please do you mind sharing how to do that here. Or can I reach you via email?

[@waqarmehdi4394]

Yes, it depends upon the dataset and problem you want to solve. In this case, dropping the null value is the best possible option in my opinion.

[@vinothv8514]

Nice work Mr. Krish...... It's really helpful

[@girishmahamuni1830]

Thank you for providing knowledge in a simple way.

[@rupeshnandanyadav8108]

Awesome tutorial on Exploratory Data Analysis ❤️❤️

[@MrKmdmustaq]

Can u please make a video on treating the outliers, this will help us a lot in solving the problems

[@premkishanmishra1574]

loved your video , far better than the uni teachers :P

[@akanshabhandari1062]

Very helpful..... U did a lot of hard-work for us.... Thnk u so much sir🙌🙌🙏🙏..... And ur way of teaching is very good that is form basic

[@theayodejipopshow]

This video is amazing. Thanks so much for sharing your wealth of knowledge.

[@garvitjain4106]

@Krish You are doing an amazing job.

[@VengalraoPachavaedu]

I have seen some of your videos, excellent work. I really appreciate your work Mr. Krish Naik.

[@GauravVerma-jk6cf]

this was really one of the most usefull stuff avialable !!!!!!!!!!!!!!!

[@warmachinex5330]

that notification in the 3:39 part 🤣🤣😂😂

[@mustafaraza6107]

16:15 now we have displot() ---- [without t]

[@tumul1474]

this is beyond amazing....amazing place to learn and to revise the impn techniques

[@RajatSharma-ct6ie]

Great work sir, learning a lot from your videos, please upload more videos on EDA..

[@AshishRoy]

Very nicely explained. Awesome

[@MuhammadAwais-n2b]

3:37 Add hahahaha Great learning Exp love you brother

[@ifhamaslam9088]

Superb explanations.. And interesting to learning

[@pravinmore434]

Thanks a lot for the very detailed lesson Sir.. that was really fruitful and helped me complete one of my project. Thanks a ton..

[@lavanyameesa6432]

wonderful explaination

[@mssnal]

Great one Krish. Basically covers most of the things a beginner needs to understand.

[@ashishgoyal7020]

Thank you Krish.

[@gkmadhav]

Is there a part 2 and 3 for this video, about feature engineering on the same dataset?

[@GreatHimalayanAsmr]

Thankyou sir it is very helpful 😊.

[@umeshrbaidya]

Great video Sir, I just have two doubts that why did you not use get_dummies on "Pclass" as it was also categorical data.. and second why did you not normalize the "Fare" and "Age" Columns as their values are might over power the results?

[@bharathb3946]

Same doubt bro

[@harshmakwana8001]

If you type "train.info( )" you will see thae dtypes of all the columns. I don't know if this might help or not but get_dummies( ) can be used for objects only i think as they do not represent any numerical value for the system to compute get_dummies( ) changes indicates those objects into numerical values. Please correct me if i am wrong as i am also confused about this if you agree or have a different insight on this please tell me so.

[@venkatadeviprasadkankanala7387]

Very nice one thank you very much for sharing valuable information

[@ShubhamJain-in6sz]

Great work sir!!👍🏻👍🏻

[@pandian3731]

Another great video very useful one bro like NLP.. 📍

[@piyush_paul_]

3:35 the add🫠💀

[@diprajkadlag]

one note, in boxplot the middle line inside the box is median value, not the mean value

[@pepetisiddhardha9848]

I didnt understood why categorical features disappeared in training data for logistic regression

[@siddhisingh4713]

Everytime, I import data it shows error "file not found" import pandas as pd data=pd.read_csv('C:\Users\Siddhi Singh\Desktop\Iris.csv') print(data)

[@Kishor_D7]

Actually you should reset the laptop because if any file found in name of panda means error willl be encountered and in the other case you should download and upload in jupyter notebook and in that jupyter notebook you should copy the path...

[@krishs7244]

U can try using Google collab

[@unnatiraut9553]

Great to understand. thanks alot

[@vinayaksharma6349]

sir how you get to know the age age has relation with pclass (how and which analysis you did?)

[@ashishmeher216]

@Vinayak sharma you can relate any column with any other column.

[@SravanKumar-td5im]

You could do a heat map of all features and get their correlation according to which you can know which feature is dependent on what

[@naveenrawat6505]

great video :) i have a suggestion we can drop PassengerId to increase the accuracy score because it doesn't contribute to the dependent variable

[@tusharmahuri2439]

@naveen rawat There is a error comes when I want to use sns.countplot. And the error is "could not interpret input 'survived' "

[@naveenrawat6505]

@@tusharmahuri2439show me the line of code

[@abhinavmahajan448]

Thanks for the detailed video. Really helpful :)

[@mohamedshathik8045]

Hi krish, You didn't drop the passenger ID column before fit the logistic regression model cause it doesn't contain any information.

[@kasturidas4081]

Where are the previous and next videos of this video? I couldn't find Someone help me please

[@ganeshrao405]

Really helpful, Thank you soo much.

[@babupatil2416]

Hi Krish, Please create some more videos on EDA, it will be helpful.

[@saylisuryawanshi3989]

great job sir, please do make more such videos for practising for beginners .

[@sulaimankhan8033]

Krish - Thank you for the EDA, Throw some light on Story Telling - If you had to conclude the EDA, Theorotically, In lay man terms - we must do the story telling- Correct me If I am wrong .

[@honey9111]

Thanks a lot Kris. EDA was well explained. I could not understand the last part starting from confusion matrix and how to read the final result of the analysis?

[@devanshusharma9386]

very helpful for beginners

[@pedrocrespo2681]

Pretty nice explanation !

[@buzzfeedRED]

why you place this video in the playlist at this point, there are so many doubts

[@MrDeeb00]

Hi, Enable auto subtitle, It helps a lot. Thank you.

[@louerleseigneur4532]

Thanks Krish

[@yashaskumargb3827]

Sir play list is best But please share the link from which u downloaded dataset fir every vedio So that we can do what u explained in vegio

[@samyakkumarsahoo8706]

It was a resourceful video. But why EDA is done before train-test split ?

[@aasthasingh67]

How do you know for one kind of result, which plot to use exactly?

[@buzzfeedRED]

@Krish : Arrange your Complete ML playlist videos into a roadmap playlist, from start to end : to data scientist

[@hemapriyaelumalaipalani3752]

Great video Krish. One doubt- how did you find the correlation between pclass and age before creating the box plot?

[@joelbraganza3819]

Use ANOVA test for finding relationship between variance of each class-group of the categorical variable and the mean of the continuous variables associated with each group.

[@aradhyakanth8409]

Sir, what is the need to visualise the data in this problem. You haven't use any analysis extracted from the visualisation to get help out in data cleaning.

[@nanduneo1]

No one will travel with only children and no spouse XD..18:22

[@subhamsaha2235]

One correction Sir-- In the boxplot, them middle line is the median(50% percentile). Thank you

[@RahulRoy-qy8rk]

This was so helpful. Thank You

[@KimJennie-fl3sg]

20:20 hey, uhmm.. 50% percentile gives us MEDIAN of the age of people with 1st class... So we are using MEDIAN value instead of MEAN right? Very helpful video for me to understand EDA

[@sharathkumar8422]

You're right, 50%ile is the median. I think you should check out the definition of median and percentiles on this page - www.statisticshowto.com/probability-and-statistics/percentiles-rank-range/#:~:text=The%2050th%20percentile%20is%20generally,quartiles%20is%20the%20interquartile%20range. That should clear your doubt.

[@gangasekar3224]

Instead of mayplot lib and seaborn can we use powerbi

[@hrcnszn]

totally unrelated to the topic but how does your taskbar look like that

[@anahitasaxena9439]

why did you decide to analyse age with respect to Pclass in the missing value stage ?

[@classicgd]

Hi Krish thanks for the videos... do you have a playlist explaining all algorithms ?

[@thistimeforafricaa]

Thank you sir

[@yashkhilavdiya5693]

Thank You So Much

[@abhishekts740]

Please upload video related time series analysis

[@Sab_Moh_Maya_Hal]

very knowledgeable,thanks man :)

[@jagadeeshabburi570]

kind of fantastic video bro, but it needs 2-3x watch for crystal clear understanding.

[@shubhamthapa7586]

i have a question why is he not using SimpleImputer class from scikit learn instead of finding the realtion to make the nan values having some values we can easily do it through sklearn module and also why isnt he using label encoder for binary values ???

[@kalpatarusahoo1820]

Krish. Can you explain while data cleaning, why the passenger class is compared with Age and not any other columns. Big doubt of mine

[@Wanderlust1342]

did you get the answer?

[@adeniyi5875]

I like the video, but how did you know exactly the graphical representation to use, i mean why countplot why not jointplot? Why line plot not boxplot? I hope you really understand my questions sir

[@samudragupta719]

Sir One question always revolves always in my mind that how should we remember all the libraries and syntaxes that are needed to Preprocess the data or doing the visualization stuffs??! It would be grateful if you share your strategies regarding that?!

[@nabiltech1366]

Same question

[@samitaadhikari3182]

@Rahul Ranjan i'll try too thanks for suggestion

[@muhammadbilalanwar6429]

A very good about EDA but one thing i must mention that you didnt even touch the outliers concept. Its the major part of EDA and honestly i take this video only for outliers . But didnt find .

[@josephtolentino1900]

I wish I found this the first time around

[@naveenrawat6505]

loving the playlist :)))))

[@vinayakindulkar3706]

Why not you have used transform on the train set is there any reason behind it.

[@ittecheval1868]

After separating the 'Survived', I could not able to understand what you did.

[@ds-hy9nc]

when i try to apply my functinon (23:20)it is showing unexpected EOF while parsing

[@sohamdeshpande3654]

Thank you very much!!!

[@sung3898]

The middle line in box plot is not average but it's a median.

[@naveengoud3264]

Best explanation

[@LearnwithNaviOfficial]

@krish Naik we drop the age column then how again age column occur

[@madhumeenamk6531]

Can regression be done using unsupervised algorithms?

[@bhavanshah1368]

@Krish Naik : Hi Krish, could you please explain why Age assigned cols[0] and Pclass cols[1],??I have not understood this

[@Parshant17]

Are you sure that is average in boxplot near 20th mintue? Because when we talk about percentile then 50%ile should be median.

[@abdullahkidwai7222]

I am getting key error after executing the following code: sns.distplot(train['Age'].dropna(),kde=False,color='darkred',bins=40) Any suggestion/idea as to what is to be done to stop getting this error?

[@udhayarajsivakumar6735]

Me to facing same error... Have you eliminate this error