Decision Tree Classifier, Explained: A Visual Guide with Code Examples for Beginners

Decision Trees are a popular classification method in machine learning due to their intuitive 'if-then' structure. This comprehensive guide explains how decision trees work, covering tree construction, key parameters, training steps, and evaluation using a golf dataset example in Python with scikit-learn. It highlights the strengths and weaknesses of Decision Trees and offers tips for optimizing parameters to prevent overfitting.