Machine Learning with Tree-Based Models in R

Tree-based machine learning models can reveal complex, nonlinear data relationships. They often win machine-learning competitions. This course will show you how to use tidymodels in order to create different tree-based models. These can range from simple decision trees to complex random forests. You will also learn how to use the powerful machine-learning technique of boosted tree that uses ensemble learning to create highly-performing predictive models. Learn how credit and health data can be used to predict customer churn or diabetes.