rstats

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

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

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.

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

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

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

Lately I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to evaluate complex models. Today’s screencast demonstrates how to implement multiclass or multinomial classification using with this week’s #TidyTuesday dataset on volcanoes.