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

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[kyawswarthant]

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.

[nipunarora]

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

[Induraj]

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.

[prezpres]

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

[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

[explorewise]

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

[johnsonnweze]

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

[farazbintariq]

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

[vijitsahu]

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

[MineKamph]

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

[affyy]

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

[noushanfarooqi]

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.

[swetapadmadalai]

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

[cameliaignat]

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

[sahanatl]

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 .

[senthilkumar-dgnn]

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.

[prayashshrestha]

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

[ayselceferzade]

awesome explanation as always! thank you so much Krish!

[Praneethtt]

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