Machine Learning in the Tidyverse
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Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.
Course Description
This course will teach you to leverage the tools in the “tidyverse” to generate, explore, and evaluate machine learning models. Using a combination of tidyr and purrr packages, you will build a foundation for how to work with complex model objects in a “tidy” way. You will also learn how to leverage the broom package to explore your resulting models. You will then be introduced to the tools in the test-train-validate workflow, which will empower you evaluate the performance of both classification and regression models as well as provide the necessary information to optimize model performance via hyperparameter tuning.
What You’ll Learn
Foundations of “tidy” Machine learning
This chapter will introduce you to the backbone of machine learning in the tidyverse, the List Column Workflow (LCW). The LCW will empower you to work with many models in one dataframe.
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