Practical Machine Learning

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  • 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.