Complete Tutorial: Decision Tree Machine Learning with MATLAB

This tutorial provides a complete introduction to Decision Tree Machine Learning in MATLAB, combining the essential theory with practical implementation. It explains how decision trees work for both classification and regression, how splits are created, how tree complexity affects performance, and how to build models in MATLAB using tools such as fitctree, fitrtree, predict, loss, view, and the Classification Learner and Regression Learner apps.

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