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[MINI] Random Forest

Data Skeptic

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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.

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