Workshop Details
ONLINE, SELF-PACED: R for Machine Learning

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:

S This is an researcher focused workshop.

Workshop Date / Time Location Instructor Seats Left  
ONLINE, SELF-PACED: R for Machine Learning ONLINE Log in to Canvas at Josh Price 69 Login To Register