Handling model coefficients for #TidyTuesday collegiate sports
Understand how much money colleges spend on sports using linear modeling and bootstrap intervals.
Machine learning, text analysis, and more
Understand how much money colleges spend on sports using linear modeling and bootstrap intervals.
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.
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.
Use custom feature engineering for board game categories, tune an xgboost model with racing methods, and use explainability methods for deeper understanding.
Get started with feature engineering for text data, transforming text to be used in machine learning algorithms.