rstats

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.

Get started with tidymodels and #TidyTuesday Palmer penguins

Build two kinds of classification models and evaluate them using resampling.

Supervised Machine Learning for Text Analysis in R

Announcing our new book, to be published in the Chapman & Hall/CRC Data Science Series!

Bagging with tidymodels and #TidyTuesday astronaut missions

Learn how to use bootstrap aggregating to predict the duration of astronaut missions.

The Bechdel test and the X-Mansion with tidymodels and #TidyTuesday

Explore data from the Claremont Run Project on Uncanny X-Men with bootstrap resampling.

Impute missing data for #TidyTuesday voyages of captive Africans with tidymodels

Understand more about the forced transport of African people using the Slave Voyages database.

PCA and UMAP with tidymodels and #TidyTuesday cocktail recipes

Use tidymodels for unsupervised dimensionality reduction.