Supervised Machine Learning in R

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Learn to perform linear and logistic regression with multiple explanatory variables.

Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.

Learn to streamline your machine learning workflows with tidymodels.

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Learn how to tune your model's hyperparameters to get the best predictive results.