I am starting white board series again :)

This was left during the SVM series. Now that playlist will complete and so do my learning. thanks sir

U are the best teacher for machine learning..no words to express sir...hats off to your teaching!!!🙏🙏🙏

These three series about SVM let me know there is a wonderful teacher here! Be happy that I learn a lot about this theme! I will follow your video for another theme!

Thanks alot krish! This video helped me alot to learn svm kernels, you've given best explanation so far.👍🏾👍🏾

Amazing Video, all three videos. This was really helpful in understanding the concepts. Please keep up the great work!

What a brilliant explanation , You simplified the entire model. One of your best video sir. Keep doing more videos and keep motivating, inspiring us sir. Thank you sir. Take care

i watched video starting from python, statistics and till here SVM 3rd part helped me a lot to understand concepts. thankful to you, lot of times watching once your video has cleared my concepts but i do revise my notes be confident on those.

Thank A Lot Sir .Really find it helpful in understanding the mathematics behind the kernel.

Wow....! Great session, thanks sir...🙏

very clear ...best ever !! I wish I could give more than 1000 likes !

Amazing explanation Krish

Really valuable content. Excellent effort!

What a beautiful explanation ...🙏👍❤

Most awaited video,😀

You're the GOAT

Really Superb explanation .. thanks alot

Could you please explain indepth maths intuition of RBF and sigmoid kernels

Friendly advice: you should use more distinguishable pen colors. Thanks for your work.

Is there any video on SVM regression? For example, how can we develop it, how to incorporate the inputs and how to model the output, etc.?

Much appreciation for you sir

Thank u sir for invaluable series😄

What is the significance of +1 and d in the Equation of Polynomial Kernel, you didn't use them while converting the values.

Thank you, Krish Sir.

Krish sir hope that you would try to take some session every day please

I just love it..Thank you sir

Easiest explanation..Thanks sir..

Loved it

I understood it completely.

thanks

10:48 : Dimension == Degree of polynomial

Hello sir plz make a vd on multi label news classification using deep learning

amazing

Hello sir, when are you making the live project playlist free for everyone? It is just for members and you mentioned in one video that you will make it free one day when you have enough subscribers?

Great video! Thanks a lot. I have one question. Can you please share how can i get this hyperplane in sklearn svm for poly/rbf kernel?

Helpful explanation

Sir, I am MCA passout in 2013 and I started self business everything was going well but due to covid business is running in loss or everything finished. So I want start IT carrier in data science. Please suggest what to do and how. I Start from basic as fresher. It possible to get job. Please sir guide me..I waiting your response 🙏

Sir you just did dot product of X1 and X2 but where that plus one goes and also what about value of D .

dear krish naik do video on sequential minimal optimization (smo)

Isn't X1 supposed to be (m,b) where m is slope and b is intercept? Please tell me

Sir i have a doubt dot dot product does not fall perprendicular by X1 and x 2 nah sir... Probably it should be cross product

Kindly do some implementation on Timeseries data and regression data

thank you sir

can you please make video on SVM DUAL FORMULATION

Since in our kernel function there are no coefficients next to the terms, does that imply that our feature distributions are normalized?

How to solve dual form? please help!! I'm not getting how this kernel tricks works mathematically..I want particularly the solutions for W and b

thanks but you didnt explain what is RBF

Hello sir, if number of classes are more than say 5, then how svm will work?

can we use svm in matlab to classif image features.... please bro , tell me how to classify image features that are extracted using orb technique... bro please tell me how to provide input to svmtrain in matlab

Hi krish Plz share link for joining your channel .. the link in description isn't working Thanks

watching this video wearing same t shirt as you, Awesome, XD

This called one class SVM ?

Use a lightboard.

Go to 120 and thank me later !

maths is not clear