Tidymodels Practice
tidymodels
Tidymodels Practice
Reusable notes for practical statistical modeling and machine learning workflows in R.
These pages are for “how I read or run a modeling workflow”, not for proving the methods.
Index
| Page | Purpose | Added |
|---|---|---|
| Base R Modeling Fundamentals | Formula syntax and traditional R modeling workflow | 2026-05-27 |
| Exploratory Data Analysis | EDA checks before modeling, using the Ames data as the running example | 2026-05-28 |
| Data Spending | Train/test/validation splitting and leakage control for model assessment | 2026-05-28 |
| Performance Metrics | Choosing and reading regression / binary / multiclass metrics with yardstick | 2026-05-29 |