CART - Classification and Regression Trees

This course covers the learning outcomes and goals of understanding decision and classification trees, feature selection, missing data, regression trees, and pruning regression trees. The course teaches the skills of building decision trees in Python from start to finish. The teaching method includes clear explanations and practical examples. The intended audience for this course is individuals interested in learning about classification and regression trees, particularly those with some basic knowledge of Python.