Step 1: TheoryDocumentation
XGBoost Documentation
Study the core concepts and background material for this learning item.
Step 2: PracticeKaggle Workbook
XGBoost Exercise
Solve the challenges and apply your knowledge interactively.
Medium25 min estimated study
Overview
Train extreme gradient boosted decision trees for tabular prediction.
Learning Objectives
- Train XGBRegressor setups
- Configure boosting parameters
Prerequisites
Item #34Cross-Validation Tuning
LockedTracking Control
Completion Reward+250 XP
Study Checklist
Studied theory resource
Completed practice exercise