StatQuest: Random Forests in R

Random Forests are an easy to understand and easy to use machine learning technique that is surprisingly powerful. Here I show you, step by step, how to use them in R.

NOTE: There is an error at 13:26. I meant to call "as.dist()" instead of "dist()".

The code that I used in this video can be found on the StatQuest GitHub:
https://github.com/StatQuest/random_forest_demo/blob/master/random_forest_demo.R

If you're new to Random Forests, here's a video that covers the basics...
https://youtu.be/J4Wdy0Wc_xQ
... and here's a video that covers missing data and sample clustering...
https://youtu.be/nyxTdL_4Q-Q

⭐ NOTE: When I code, I use Kite, a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=statquest&utm_content=description-only

For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/

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Видео StatQuest: Random Forests in R канала StatQuest with Josh Starmer