k nearest neighbor (kNN): how it works 

Crisp slides, crisp content, crisp explanation along with crisp voice ! Simply outstanding. Your lectures have helped me lot. Thank you!

Your explanations are adorable, thank you so much. Would never think that I'll enjoy so much watching videos about algorithms:)

Your lectures are awesome. :) I learn alot. Thanks

Very nice explanation! Thank you very much!

Fantastic explanation. Thank you so much Victor!!

Which book is him talking about?

Great lecture! Thanks for uploading! BTW, what's the W&F textbook you mentioned?

Man you are a king ! Best teacher eva !

Thank you for posting these! Really helpful.

Awesome explanation :D ! wonder why one might dislike this video !!!!

Hi! very good video, what is the recommended book for following this topics?

yeah that is called a bug in powerpoint xD your classes are so fun :)

very helpful, Thanks a lot!

Greate... did you have a computation of voronoi using excel???

if you use 2NN classifier but your point has 4 points of the same distance, what do you do?

What is distance weighted KNN?

What book is he talking about?

simple and understandable. wonder if you can provide me with this slides. :)

better than most of my colleges lecturers

awesome presentation sir it's very helpful..

Nice lectures :)

Did I heard it correctly 6:29 The decision Boundary of Naive Bayes or K-nearest Neighbour