Handling class imbalance in modeling affects classification metrics in different ways. Learn how to use tidymodels to subsample for class imbalance, and how to estimate model performance using resampling.
Tune a decision tree model to predict whether a Mario Kart world record used a shortcut, and explore partial dependence profiles for the world record times.
Walk through a tidymodels analysis from beginning to end to predict whether water is available at a water source in Sierra Leone.
Are more CEO departures involuntary now than in the past? We can use tidymodels' bootstrap resampling and generalized linear models to understand change over time.
Use tidymodels to build features for modeling from Netflix description text, then fit and evaluate a support vector machine model.
Use tidymodels to predict post office location with subword features and a support vector machine model.
Explore country-level UN voting with a tidymodels approach to unsupervised machine learning.
Estimate how commercial characteristics like humor and patriotic themes change with time using tidymodels functions for bootstrap confidence intervals.
Use tidy data principles to understand which kinds of occupations are most similar in terms of demographic characteristics.
Explore results of models with convenient tidymodels functions.