Use resampling to understand #TidyTuesday drought in TX
The spatialsample package is gaining many new methods this summer, and we can use spatially aware resampling to understand how drought is related to other quantities across Texas.
Predict #TidyTuesday NYT bestsellers
Will a book be on the NYT bestseller list a long time, or a short time? We walk through how to use wordpiece tokenization for the author names, and how to deploy your model as a REST API.
Handling model coefficients for #TidyTuesday collegiate sports
Understand how much money colleges spend on sports using linear modeling and bootstrap intervals.
Poisson regression for #TidyTuesday counts of R package vignettes
The tidymodels framework provides extension packages for specialized tasks such as Poisson regression. Learn how to fit a zero-inflated model for understanding how R package releases are related to number of vignettes.
Inference for #TidyTuesday aircraft and rank of Tuskegee airmen
The infer package is part of tidymodels and provides an expressive statistical grammar. Understand how to use infer, and celebrate Black History Month by learning more about the Tuskegee airmen.