Welcome

This book provides an introduction to advanced analytics with R using the tidymodels framework, a collection of packages for modeling and machine learning using tidyverse principles. You will learn how to build, evaluate, compare, and tune predictive models.

We’ll cover key concepts in statistical learning and machine learning including overfitting, the holdout method, the bias-variance trade-off, ensembling, cross-validation, and feature engineering.