License: Attribution-NonCommercial-ShareAlike 4.0 International
This repository contains code and notes for the tidymodels workshop.
To get the packages, use:
install.packages(c("tidymodels", "shinymodels", "xgboost", "glmnet", "embed", "remotes"))
# For the data:
remotes::install_github("topepo/ongoal")You should also have the RStudio IDE installed.
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Introduction - why tidymodels? example data, tidyverse review.
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Models - what is the model?, data splitting, basic R models, parsnip introduction, some broom.
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Feature engineering - recipes introduction,
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Resampling - why resample, cross-validation,
fit_resamples(), shinymodels. -
Model tuning - tuning parameters, grids, grid search, glmnet, boosting, parallel processing, test set evaluation.