
[MINI] Random Forest
Data Skeptic
00:00
Introduction
This chapter provides an overview of the Random Forest Algorithm, which is an example of ensemble learning. It explains the concept of tree-based learning, decision trees, bagging, feature bagging, and discusses a hypothetical example of using random forest in a bookstore.
Transcript
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