rstats

Models like xgboost have many tuning hyperparameters, but racing methods can help identify parameter combinations that are not performing well.

Which Scooby Doo monsters are REAL?! Walk through how to tune and then choose a decision tree model, as well as how to visualize and evaluate the results.

Predict prices for Airbnb listings in NYC with a data set from a recent episode of SLICED, with a focus on two specific aspects of this model analysis: creating a custom metric to evaluate the model and combining both tabular and unstructured text data in one model.

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.