Regression Trees, Clearly Explained!!!

Regression Trees are one of the fundamental machine learning techniques that more complicated methods, like Gradient Boost, are based on. They are useful for times when there isn't an obviously linear relationship between what you want to predict, and the things you are using to make the predictions. This StatQuest walks you through the steps required to build Regression Trees so that they are Clearly Explained.

NOTE: This StatQuest assumes you already know about...
The bias/variance tradeoff:
Decision Trees:
Linear Regression:

ALSO NOTE: This StatQuest is based on the definition of Regression Trees found on pages 304 to 307 of the Introduction to Statistical Learning in R:

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