Multiclass predictive modeling for #TidyTuesday NBER papers
Tune and evaluate a multiclass model with lasso regulariztion for economics working papers.
Dimensionality reduction for #TidyTuesday Billboard Top 100 songs
Songs on the Billboard Top 100 have many audio features. We can use data preprocessing recipes to implement dimensionality reduction and understand how these features are related.
Fit and predict with tidymodels for #TidyTuesday bird baths in Australia
In this screencast, focus on some tidymodels basics such as how to put together feature engineering and a model algorithm, and how to fit and predict.
Modeling human/computer interactions on Star Trek from #TidyTuesday with workflowsets
Learn how to evaluate multiple feature engineering and modeling approaches with workflowsets, predicting whether a person or the computer spoke a line on Star Trek.
Predict housing prices in Austin TX with tidymodels and xgboost
More xgboost with tidymodels! Learn about feature engineering to incorporate text information as indicator variables for boosted trees.