Predicting injuries for Chicago traffic crashes
Download up-to-date city data from Chicago’s open data portal and predict whether a traffic crash involved an injury with a bagged tree model.
Upcoming changes to tidytext: threat of COLLAPSE
The current development version of tidytext has changes that may affect your analyses.
Tune random forests for #TidyTuesday IKEA prices
Use tidymodels scaffolding functions for getting started quickly with commonly used models like random forests.
Tune and interpret decision trees for #TidyTuesday wind turbines
Use tidymodels to predict capacity for Canadian wind turbines with decision trees.
Predicting class membership for the #TidyTuesday Datasaurus Dozen
Which of the Datasaurus Dozen are easier or harder for a random forest model to identify? Learn how to use multiclass evaluation metrics to find out.
Modeling #TidyTuesday NCAA women's basketball tournament seeds
Tune a hyperparameter and then understand how to choose the best value afterward, using tidymodels for modeling the relationship between expected wins and tournament seed.
Handle class imbalance in #TidyTuesday climbing expedition data with tidymodels
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.
Introducing our new book, Tidy Modeling with R
An initial version of the first eleven chapters are available today! Look for more chapters to be released in the near future.
Train and analyze many models for #TidyTuesday crop yields
Learn how to use tidyverse and tidymodels functions to fit and analyze many models at once.
Build a #TidyTuesday predictive text model for The Last Airbender
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.
