Use tidymodels for feature engineering steps like imputing missing data and subsampling for class imbalance, and build predictive models to predict the probability of survival for Himalayan climbers.
An initial version of the first eleven chapters are available today! Look for more chapters to be released in the near future.
Learn how to use tidyverse and tidymodels functions to fit and analyze many models at once.
Use text features and tidymodels to predict the speaker of individual lines from the show, and learn how to compute model-agnostic variable importance for any kind of model.
Build two kinds of classification models and evaluate them using resampling.
Learn how to use bootstrap aggregating to predict the duration of astronaut missions.
Explore data from the Claremont Run Project on Uncanny X-Men with bootstrap resampling.
Understand more about the forced transport of African people using the Slave Voyages database.
Use tidymodels for unsupervised dimensionality reduction.
Learn how to tune hyperparameters for an XGBoost classification model to predict wins and losses.