Tutorial 22-Univariate, Bivariate and Multivariate Analysis- Part1 (EDA)-Data Science

[@kyawswarthant708]

U are the life saver I have already explored many many videos related to data science and ML and all of your videos are very understandable and go straight to the points . Thanks youtube and Krish Naik for such great tutos.

[@nipunarora8]

Hello Krish sir, the determination you have in making videos, that's commendable.

[@teetanrobotics5363]

One of the best teachers out there

[@adiflorense1477]

So who is your favorite teacher in your place of study other than krish?

[@prez4pres329]

I am new to the channel. I'm taking statistics courses in college right now and these videos are very helpful with making things easier to understand. Thank you. Subscribed

[@MineKamph]

Krish, I am iNeuron student .. and I must say so beautifully you have explained this topics with a lot of clarity ... TY

[@affyy04]

Thank you for making these informative videos. Being a student of data science your videos are gem and you are the asset to students learning the subject! Please keep uploading! Thanks

[@johnsonnweze731]

I am impressed with your energy and sound knowledge of your subjects. I always look out for your you tube video for detailed explanations. keep it up

[@vijitsahu2033]

I was searching for this kind of video since a long time... value overloaded....Thank you krish for your wonderful content.

[@017farazbintariq9]

sir app best teacher ho bohot acha samaj aata hai appse plz keep sharing your knowledge with us and we will support you and learn new concepts of data science

[@explorewise]

You are very energetic . I randomly clicked this video, but ended up subscribing this channel..

[@Ropeka]

Your explanation is easy to catch. Worth listening. Accent is good. Giving the basic things along with really helps. Pliz keep doing this thing.. thank you

[@cameliaignat5261]

so useful and clear, saved me a lot of confused wikipedia surfing :)

[@noushanfarooqi36]

Something that no one usually mentions but took me a while to grasp is that a high correlation between your output and indep. variable/feature is good for your model, but correlation between 1 indep. variable with another one is not great for model, and it's in that case where we need to work with them.

[@Induraj11]

you are a good speaker. Things to be corrected in video -> sigmoid function is non linear! hence logistic regression is non linear. Svm as you mentioned is not a non linear classifier and it is a linear classifier.

[@sahanatl4025]

in class what ever they explianed for 3 hrs, you could tell that in 15 minutes .. Content is too good ... This is the first ever time i am commenting on some video bcz i couln't resist .

[@swetapadmadalai889]

How can be one so much talented.. Great explanation..

[@senthilkumar-dg9nn]

Krish : Amazing lecture ..you are making me understand the fundamental of statistics so easily.. god bless you.

[@traeht]

I have progressed so much in short time following your tutorials. I hope one day to get a job of a data scientist.

[@KureCancer]

easy to understand way of teaching.

[@ramiqudah7567]

dude. you are good at teaching

[@ayselceferzade8587]

awesome explanation as always! thank you so much Krish!

[@prayashshrestha249]

awesome tutorial I was having problem with these concepts u made it so clear easily. One of the best video

[@Praneethtt]

Good useful video now i grasp the basic of how to apply the ML algorithm

[@nitinlohar4218]

Thank you for the video. It’s clearly explained.

[@alphonseinbaraj7602]

Sir ,Kindly revert data preprocessing videos..Because it was removed ..pls ..and upload overfitting and underfitting oriented real time program explanation ...thank u very much ..

[@kunikakhobragade6953]

Ur teaching is little bit hard...m unable to understand in a proper way...I always want to see ur videos but when it starts.. after some time ..m exhausted

[@nirajrandhir4838]

True

[@PAVANSIDEAS]

you should see statistics playlist and some idea about ml to understand

[@pintseuniceeunice6825]

Very much easily understandable sir

[@saddamshaikh9285]

thank you so much....waiting 2nd part☺️

[@ANLE-bh3dv]

You are a great Teacher

[@dhwanimodi8371]

Amazing, Thank you for making it very clear.

[@mauricioalfaro9406]

Very good work. Looking forward to next part

[@karthikkarthik-ls9wg]

Excellent sir 👍👌

[@mubashsherarahman5996]

Very useful tutorial. Thanks for uploading this tutorial.

[@vidyarajabansi6570]

Practical example is required..waiting for next part..

[@parneetkaur4444]

Following your plan of full data science and reached here till now. Lot more to go and will complete also for sure. Enjoying a lot. Thanks a lot Sir!

[@vijaybhatt6835]

Good work bhai, best wishes.

[@chmod-o]

well explained the fundamentals of ML

[@equiwave80]

Hi Krish, I'm seeing this video a bit late. But many things with respect to Uni and Multi variate analysis have become clear to me. Thanks Krish!!!

[@sengnawawnghkyeng9179]

literally

[@nuwansameera3536]

Krish, you are great. I was searching for videos related to these 3 analysis but couldn't find a good explanation like this. Thank you!

[@smitkumarsuryawanshi3608]

Hats off you sir... I cleared my concept through ur videos

[@wajahathussain1924]

Very nice explanation sir✨✌🏻💯❤

[@spicytuna08]

you explain so well. thanks,

[@GhulamMustafa-uo9rk]

I guess you should use word multivariable as you are using one dependant variable,in case of multivariant there are more than one target variables

[@blackyogurt]

you are great bro .. thanks . very useful.. w8 for more video with lots of examples : ) thnk

[@KrishnendraSankar]

Wonderful Lecture.. Thank you very much..

[@tarunsharma8366]

sir after a person is certified data scientist what are the other things he should learn to boost his career.

[@jackyhuang6034]

If you are interested in business, I would suggest getting a CFA or FRM(Meanwhile, keep improving your skills in ML). By applying advanced machine learning techniques, you are probably able to make unintuitively valuable suggestions and extrapolations, which worth some money. (easy 250k annual compensation)

[@satishharijan7280]

thanks for give us for video brother. keep it up.

[@mohnishkumar6368]

Superb Krish 👍

[@ScholarSpherevideo]

Thank u sir for the valuable class

[@Rainstorm121]

Thanks much Kris. Feature = variable. May you just do away with Y-component and only have horizontal line for weight. That is consistent with saying there is no Y component on Uni-variate analysis.

[@mohamedrafi8872]

i regret that i underestimated you and your channel when i came across many times before. Sorry I judged the book by it's cover :( Thank you so much.

[@mayuraugad1445]

Nicely explained keep it up

[@seriouscoder1727]

7:10 pair plot in seaborn

[@equiwave80]

Hi Krish, I have one doubt with respect to Pre Data Processing techniques. I know it is very difficult to generalize but could you please suggest the most common Pre - Data Processing techniques. I'm not sure if it is a candidate for one of your videos.

[@teluguhdentertainment4567]

multivariate normality in assumptions and multivariate analysis are same

[@fashiondesire7145]

Is it helpful to MBA RESEARCH METHODOLOGY AND STATISTIC ANALYSIS??

[@aravind7873]

good explanation sir

[@mitalisarkar4676]

7:00 multivariate

[@vaishnavigupta7413]

Grateful explained

[@deepakreddy715]

Hi krish please add compleat oops concept videos

[@himalayasinghsheoran1255]

Thank you for this video.

[@faisalriazbhatti]

Hi Krish U r doing great work. Would you please suggest some resources to understand probability and linear algebra resources.

[@mcbhuva007]

Please refer Statistics for Management by Richard I Levin and David Rubin

[@faisalriazbhatti]

@@mcbhuva007 any KZbin channels

[@ahmedadnanaziz2005]

it was great tutorial

[@sushil830]

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[@AS-ut6mb]

Great video. I have a problem related to the topic which I want some help with. Can anyone answer which one is correct and little explanation on how to solve it? Here is the problem: There is an email marketing template and we want to replace it with a better template. A is the control template. We also test email templates B, C, D, and E. We send 100,000 emails of each template to different random users. We want to figure out what email gets the highest click-through rate. Template A gets 10% click-through rate(CTR). B gets 7% CTR. C gets 8.5% CTR. D gets 12% and E gets 14% CTR. We want to run our multivariate test till we get 95% confidence in a conclusion. Which of the following is true: a) E is better than A with over 95% confidence. B is worse than A with over 95% confidence. You need to run the test for longer to tell where C and D compare to A with 95% confidence b) Both D and E are better than A with 95% confidence. Both B and C are worse than A with over 95% confidence c) We have too little data to conclude that A is better or worse than any other template with 95% confidence

[@rishikeshdash12]

plots used for multivariate analysis like PCA, PCoA and NMDS, CCA any video on that?

[@sagarpaudel5904]

Thank you Krish

[@Raj-gc2rc]

Logistic regression could have polynomial feature and many different features

[@marioluoni3899]

@6:07: can also use what?

[@dhivakarsomasundaram21]

Can take univariate for single input features and multivariate for multilabel classification in NLP?

[@nastaranmarzban1419]

Hi, hope you're doing well. Sorry I have a question. Is there any multivariate dataset in the internet that the variables are labeled?!!!!! As far as I've checked the multivariate dataset that I've seen, are labeled based on observations( for example observation 1 suffer from cancer, 2 do not and....) Now I want the variables have lables. Is there any data set? I'll be bery thankfull if you help me. Thanks in advance🌸

[@louerleseigneur4532]

Thanks Krish

[@jurges8544]

Hi Krish, thanks a lot for your help, I have been learning a lot from you. Just wanted to know if you have a video that explains high-level end to end DS projects. I saw one that you had for Feature Engineering and wanted to know if you have one for the whole process?

[@mohammedhassant8419]

Hi Sir Could you please make a video about BI services

[@madhugarg7499]

Hi Krish, Why you have taken negative values the Y-axis ?

[@Camila-fv9qj]

When we use these method before cleaning the date or after cleaning

[@MATEHEENACHANDRAKANTSNEHA]

Quick question here, where do we use univariate analysis then?

[@vishvantsaisworld1557]

Sir what is mentioned in y axis grsph of univariate analysis how that number came??

[@jannatulonny311]

What are the parameters for univariate/bivariate/multivariate Gaussian models?

[@pavankumarakula2268]

Hello @KrishNaik sir, Many thanks for creating such a wonderful content. The links on correlation i.e. playlist for statistics, covariance and Pearson correlation are missing in the description.

[@rajsamant1]

Thanks Krish..

[@yogeshavhad6944]

How age and DOB are different features?

[@rohitvyas2123]

hindi lectures are also available of this topic ?

[@RAVI-talks]

what is the difference between regression analysis and path analysis

[@govindraju9586]

Are Pairplot / correlation matrix - bivariate or Multivariate?

[@pizarronobleza2033]

Sir can I ask a question what makes multivariate statistics similar from univariate or bivariate statistics

[@adiflorense1477]

Sir, Is it permissible to perform multivariate analysis using the k-nn algorithm?

[@eganadatokon-effiong1525]

Please , how to perform EDA on dataset with many one hot encoded features??

[@Alishaheed]

Is excel also used in data analytics?

[@manishsharma2211]

Yes

[@sanjeevkumar2004]

Sir could you please also explain multivariate analysis in time series

[@rossmilburn7838]

Krish Naik, I want to understand multivariate analysis better, and I found your tutorial 22 was excellent, you are a great presenter, perfect English, amazingly clear method of exploring the analysis problem with histograms, etc. But then I found tutorial 23 was recorded badly, so I could not understand your voice easily. I clicked on subscription, and heard you talking at length about your services (again, recording not clear), but most of it was not relevant to my specific need. Why can't you just show a price list of specific items? This could include little items like "how to do multivariate analysis" , or "how to do bivariate analysis", or "How to join our 6-month course to be a data scientists" , each with a price. But I am not prepared to join, just because you are an excellent teacher. I am a customer, and I want what is useful to me right now, not your views on a long-term relationship that may, or may not, be useful. But thank you for tutorial 22, and good luck.

[@kavitameena4728]

Please explain Cox regression analysis

[@piyushdas3901]

Hi, Please share the link of playlist of explanatory data analysis

[@cheeku7684]

I need an explanation of uni-variate data analysis

[@sunnysavita9071]

great effort

[@JardaniJovonovich192]

What if i have categorical data and want to plot a heat map/pair plot

[@manishsharma2211]

Convert ino numerical and then plot

[@pratikchavan4484]

Thank you sir

[@saraniederberger8095]

How do I do these analyses with categorial variables?

[@abdellahgrinzou548]

Hi suur I want to ask how to avoid overfitting.. Know that I used dropout(0.5) and data augmentation with fine tuning Please, any help!!

[@kadhirn4792]

Kindly use Ridge regression ( run Cross validation to take mimnum Lambda value and plug it in Ridge regression). kindly check "stat quest" channel on this topic

[@abdellahgrinzou548]

@@kadhirn4792 thank u, I'll search for it I have another question, since u r here😊😁 I want to get features extracted by an object detector model like RCNN or Yolo of a dataset, and then use these features for classification Is that possible? If it is, please any help or guidance!!

[@kadhirn4792]

@@abdellahgrinzou548 Not much idea on CNN

[@abdellahgrinzou548]

@@kadhirn4792 okay, thanks a lot 😁 Keep sharing us, u r doing such a great job. God protect you 😊

[@dineshlakshitha7309]

supper explanation