Random Forest is one of the most useful pragmatic algorithms for fast, simple, flexible predictive modeling. In this video, I dive into how Random Forest works, how you can use it to reduce variance, what makes it “random,” and the most common pros and cons associated with using this method.

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====================
Contents of this video:
====================
00:00 Introduction
01:09 What Is Random Forest?
02:10 How Random Forest Works
03:53 Why Is Random Forest Random?
04:20 Random Forest vs. Bagging
04:57 Hyperparameters
06:18 Variance Reduction
09:04 Pros and Cons of Random Forest