Machine Learning in the Tidyverse

This course will teach you how to use tools from the "tidyverse" to create, evaluate, and analyze machine-learning models. To deal with complex models, you will be able to use purrr and tidyr packages. You will also learn how to use the Broom package to explore your models. You will learn the test-train-validate process. This will enable you to evaluate both classification and regression models. It also provides information that can be used to optimize model performance via hyperparameter tuning.