Blog

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.

tidylo is now on CRAN! 🎉

Measure how the frequency of some feature differs across some group or set, using the weighted log odds.

Tune XGBoost with tidymodels and #TidyTuesday beach volleyball

Learn how to tune hyperparameters for an XGBoost classification model to predict wins and losses.

Learn tidymodels with my supervised machine learning course

I am happy to announce that a new version of my free, online, interactive course has been published!