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!
