Learning Decision Tree

This is probably the best decision tree explanation I've come accross. Thank you madam.

This is probably one of the best tutorials I have found on net. Thanks a lot Madam, continue the good work.

Respected Madam, I am learning lots of things from your video. Madam, if P+ = 1, and P- = 0, then Entropy(S) = NaN, since, 0*log2(0) is NaN (not a number), but not zero. It is asymptotic. Thank You.

thank you

Where can I get the content or PPT?

thank u mam

not good

thanks ma'am, have an exam tomorrow and this really helped

Thank you mam

Nice series of tutorials.

In the topic 'when to stop ' i can't understand 3rd reason.

where is the slide ?