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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.
Variance of average of correlated random variables stats.stackexchange.com/quest...
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Contents of this video:
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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