Random forest classification - simply explained

See all my videos at www.tilestats.com/
1. Introduction
2. How it works (03:20)
3. How to calculate the OOB error (07:52)
4. How to determine the number of trees (10:03)
5. How to predict (10:41)
6. Variable importance (11:27)
7. Random forest vs decision trees (12:29)

[@lade_edal]

Your videos are the clearest, best explanations of concepts I have EVER come across. You are incredible. Thank you so much for helping me.

[@tilestats]

Thank you!

[@abbasatashdehghan58]

Incredibly easy to understand and comprehensive explanations.

[@tilestats]

Thank you!

[@newsupdates3622]

Your videos are pretty awesome. I'm someone who's already familiar and learnt many of this, but even then your videos shed new light and new ways of looking at things. I appreciate the simplicity and accuracy you offer, without dumbing things down too much

[@tilestats]

Thank you!

[@Leila0S]

Where can I find explanation about ml3 classification in your videos so?

[@tilestats]

I have so far just a basic video on SVM.

[@Leila0S]

@@tilestats thank you anyway. I don't know what formula you use to make life easier, but it really becomes easier to me usually after watching your videos.

[@tilestats]

Use small simple data sets when you try to learn a new method Compare results from calculations by hand with results from a software Don't give up, there is always some text somewhere that will help you understand.

[@Leila0S]

@@tilestats I have to take two courses in multivariate statistics. One is theoritical and the next is applied. Eventhough I decided to go for those two courses because I like Math, but I'm really struggling with the complex way those topics are presented. I use the content of your channel to help me get a brief summary about the topics I'm gonna study in the course but your channel doesn't cover all the contant that I have to study in my course. I wander whether you use a specific textbook to present your content from, or you summarize your knowledge in few slides here.