Machine Learning Random Forest with Python from Scratch - How to Build a Tree

The video tutorial explains how to build a decision tree using a recursive approach. It covers the best split function to determine the optimal question for splitting data, the role of leaf nodes in making predictions, and the use of recursion to construct the tree. The tutorial also discusses the partition method for dividing data into true and false rows and concludes with the implementation of a custom fit method for training the model.

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