CH11 - Machine Learning (ML) - Decision Trees and Random Forest algorithm

In this Chapter: - What is the Decision Tree algorithm - Different Splitting Measures for Decision Tree algorithm - How to find thresholds and best feature - Advantages and disadvantages of Decision Tree algorithm - Example of Decision Tree algorithm for both classification and regression task - Understand Random Forest algorithm Aim of this chapter: - Understanding the Decision Tree algorithm and Random Forest algorithm with seeing implementation examples for both.