Code With Me : Logistic Regression (from scratch) !

Ever wonder how to code a logistic regression from first principles?

[Pavel]

I always wonder how your manner of speech and explanations are always clear and intelligible. Really amazing storytalling skills + intuitive explanations

[volsurf]

I learn with my fingers :) and this is such an excellent video. Please make more such hands on videos, something on stochastic approximation or reservoir sampling would be greatly appreciated.

[sid]

Your videos make things so easy to understand. Great video 👍

[Saed]

Explaining a difficult subject clearly is an art!

[shubhampandilwar]

Wow.Finally. I was waiting for this video for so long. Very well explained. I was struggling to derive it from scratch. Now I am clear where I had gone wrong. Amazing explaination.

[patrickmullan]

Minor comment on notation - I was taught this by my superviser, too...

If you have a function that is denoted by more than 1 character, it should be "upright font".

For instance, the fourth line, where you differentiate the log likelihood by \beta_0, it should be clear that "LL" is the name of _one_ variable. If it is in italic it is not clear.
Because other variables are written also in italic, in this case it would be as if "LL" means: "L times L".

Hope my explanation is understandable

[kunalchakraborty]

One learns something new everyday. Thanks for the video.

[jorgschmidt]

well done!
in general, your vids are pretty cool 👌🏻😎

[iwanbonnen]

Thanks for the video.
At 3:42 you say x_1 but you probably meant x_i because that's what's written on the paper.

[atigunners]

Your channel is a goldmine. Never thought i would become a gold digger. :d

[nsambataufeeq]

Don't know how it could be done but if you had a podcast I would happily be on that bus before it was painted yellow

[iwanbonnen]

Dear ritvikmath, can you please provide me with a link to the sources for the algorithm? Any textbooks or articles that you used? Thank you.

[redherring]

Multivariate adaptive regression splines