Tune XGBoost With Early Stopping to Predict Shelter Animal Status

This screencast demonstrates tuning an XGBoost model to predict outcomes for shelter animals. It covers feature engineering, early stopping with validation data, hyperparameter tuning, feature importance, and multiclass evaluation.