Tune and evaluate a multiclass model with lasso regulariztion for economics working papers.
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.
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.
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.
More xgboost with tidymodels! Learn about feature engineering to incorporate text information as indicator variables for boosted trees.