- Week 1: Prediction, Errors, and Cross Validation
- This week will cover prediction, relative importance of steps, errors, and cross validation.
- Week 2: The Caret Package
- This week will introduce the caret package, tools for creating features and preprocessing.
- Week 3: Predicting with trees, Random Forests, & Model Based Predictions
- This week we introduce a number of machine learning algorithms you can use to complete your course project.
- Week 4: Regularized Regression and Combining Predictors
- This week, we will cover regularized regression and combining predictors.
