In this 1-hour long project-based course, you will learn how to (complete a training and test set using an R function, practice looking at data distribution using R and ggplot2, Apply a Random Forest model to the data, and examine the results using RMSE and a Confusion Matrix).

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.