Tune XGBoost With Early Stopping to Predict Shelter Animal Status

Learn to implement xgboost modeling with early stopping for efficient and accurate predictions using animal shelter data from #SLICED. Explore feature engineering techniques, analyze results, and generate predictions in this 31-minute screencast. Follow along with the provided code to enhance your understanding of machine learning concepts and their practical applications in real-world scenarios.

Introduction
Overview
Feature Engineering
Early stopping
Results
Predictions
Conclusion