Regression Trees, Clearly Explained!!! @statquest
Regression Trees, Clearly Explained!!!  @statquest
Uploaded August 2019 | Updated September 2026, 2 weeks ago
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: youtu.be/EuBBz3bI-aA
Decision Trees: youtu.be/7VeUPuFGJHk
Linear Regression: youtube.com/watch?v=nk2CQITm_eo

ALSO NOTE: This StatQuest is based on the definition of Regression Trees found on page 328 to 331 of the Introduction to Statistical Learning. statlearning.com

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

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0:00 Awesome song and introduction
0:41 Motivation for Regression Trees
2:19 Regression Trees vs Classification Trees
7:11 Building a Regression Tree with one variable
18:59 Building a Regression Tree with multiple variables
20:54 Summary of concepts and main ideas


#statquest #regression #tree
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StatQuest with Josh Starmer |

Regression Trees, Clearly Explained!!!

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