Fundamentals of Machine Learning - Decision Tree

The video tutorial covers the basics of decision trees, including loading necessary libraries like Pandas and Numpy, creating mock data, and visualizing decision trees. It explains how to set up a decision tree model using entropy as a criterion and demonstrates the process of making tree splits. The tutorial also discusses testing the model and analyzing predictions, highlighting the potential for overfitting with simple data.

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