Underrated gem of a channel, i hope one day you get the recognition you deserve 💎

@akhilakur02

Жыл бұрын

was about to say the same , I guess the community recognizes it.

@practicemail3227

Жыл бұрын

@@akhilakur02 true, the community indeed recognizes gem.

@sandipanmandal3830

8 ай бұрын

The day has come

Much underrated channel. Kudos to your work sir. Thank you so much

One of the best teacher in this domain ❤❤

Nice video!! Really impressed by the way you delivered it!

amazing explanation sir i have seen many videos but not getiing clear idea but in your one video got crystal clear idea

Very informative knowledge. Thanks for sharing it.

Amazing Explanation.. Your hard work is appreciated :)

Excellent explanation bro. I really liked the way you connected the things. Became as big fan of your videos.

Best channel for Machine Learning 😍

thanks a lot sir, today I gave a presentation on data collected from students, the way I performed eda, everyone was impressed and asked me about where did I learn this, I straight away gave your channel link.

Really very well explain the concept. Thank you.

Informative lecture!

Great Explanation sir.

You are super se bhi upar.

u r the best teacher

@2.43, probability of point belonging to positive class will be close to 0.5 if the point is very close to the line. Probability will be zero when point is very far from line on the negative side. Plz correct me if i am wrong.

Loved it❤

good explanation :)

It was definitely very good explanation. Thank you sir. I have one doubt when we say d (i.e. support vector) should be maximize (the parallel line from the margin) in that case for training dataset residual will be high (i.e. error) but definitely for testing dataset variance will be low as it handle outlier as well. Whether it is fine to increase residual in training dataset to make it generic model.

Best ml channel

Sir why this algorithm is not added in 100 days of Machine Learning

the bg mhmmmm in your video is too chilling. 😨

Thank You Sir.

finished watching

wait what that pie pie pie was really a tongue twister...

💞♥

Done

😅😊

As we need to maximise the margin i.e. the distance between pi+ and pi-, then the best hyperplane can be any plane parallel to pi and within pi+ and pi-. It seems to me that we haven't found the unique solution, but a family of solution. How can we find the unique solution?

@uditjec8587

Жыл бұрын

exactly I have same doubt

@singhtanishq2210

Жыл бұрын

We also have to ensure that the distance between support vectors and the optimal separating hyperplane is also maximum .

your video voice is not very clear. please fix it it will help

sound is very poor

I am a beginner and i believe your lectures could have been effective if you did not consider everyone to be a pro in it. Basic steps ko bhi likho bro, this is why we are her. teachers bhi miss karte hain ye to tumhare pass kyun aye hum

@code-with-me-2002

4 ай бұрын

bahenji, sunkar notes khudh banao

in between hindi is annoying

@Tusharchitrakar

6 ай бұрын

Then don't watch bro. Stop disrespecting free knowledge especially when it is of the highest quality which you'll not even get from paid courses. Instead of commenting and calling it annoying, don't watch. You are the one losing out on world class knowledge

@aathifts280

6 ай бұрын

@@Tusharchitrakar I am sorry if u offended but at least mention the fact it was hindi that is all im asking cause many people dont know

@Tusharchitrakar

6 ай бұрын

@@aathifts280 see this is more understandable and this I'll never ever dispute. You could have just said you don't understand hindi which is obviously fine. I'm South Indian too and i learnt Hindi talking to my north Indian friends. But calling someone annoying just because you don't know Hindi is wrong especially when they work so hard to give free knowledge. Next time don't say annoying rather say politely that you don't understand hindi. No hard feelings. Peace and love. Good luck with your ml journey