An Introduction to Statistical Learning
R and Python editions, with chapter labs.
Readings and reference
Resources
Texts and documentation for the course workflow.
Tidy Modeling with R
Data preprocessing, resampling, tuning, and model workflows in R.
scikit-learn user guide
Predictive modeling and evaluation in Python.
Preprocessing and data leakage
Examples of consistent preprocessing and evaluation pipelines.
R for Data Science
Additional R data preparation and visualization guidance.
pandas introductory tutorials
Additional Python data preparation guidance.