In this hands-on workshop, you will learn how to use R to discover useful patterns in your data and to make accurate predictions. Topics will include data preparation, automated variable selection, cross-validation methods, model tuning, and several popular modeling approaches including decision trees, random forests, gradient boosting machines, and neural networks. We will use the popular tidymodels package which integrates the various steps and standardizes them across many modeling methods. It takes approximately 8 hours to complete this workshop. Log in to Canvas with your NetID and Password to begin this workshop at your own pace at the following URL: https://utk.instructure.com/enroll/4G37M9

This is an researcher focused workshop.