This workshop provides a gentle introduction to supervised machine learning: concepts, methods, and R code. Participants will learn how to apply a few common methods on open-source NFL data via nflfastR. Along the way, I'll introduce several core tidymodels packages, which provide a grammar for modeling that makes it easy to do the right thing, and harder to accidentally do the wrong thing.
Slides at cmsac-tidymodels.netlify.app
install.packages("tidymodels")
remotes::install_github("jthomasmock/espnscrapeR")There are a few files for you to use for source-code:
raw_plays.rds- so you don't have to download ALL thenflfastRdata- Full Code extracted from RMD Slides