Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: Regression trees predict a continuous variable using steps ...

We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! In this course, you will learn how to: Express why Statistical Learning is important and how it can ...

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...