Python for Machine Learning - The Complete Beginners Course - Introduction to Decision Trees

The video tutorial explains the decision tree technique, a supervised machine learning method that splits data based on parameters to form a tree with decision and leaf nodes. It describes the learning algorithm, which involves selecting features and segmenting data based on their importance. The tutorial also introduces criteria like entropy used in decision-making processes.

Describe the learning algorithm of a decision tree.

What is entropy and how is it used in decision trees?