Extreme Gradient Boosting with XGBoost

The Korshub Take

This intermediate machine learning course dives into XGBoost, the industry-standard gradient boosting library for tabular data. You will learn to build, tune, and evaluate high-performance classification and regression models alongside scikit-learn and pandas.

Who It's For

Data scientists and ML practitioners who know supervised learning basics and want to implement scalable, competition-winning gradient boosting models.

Key Takeaways

• Gradient Boosting Fundamentals: Understand the mechanics of tree boosting and how XGBoost optimizes tabular data performance.
• Model Building & Tuning: Construct classification and regression models while hyperparameter tuning for maximum accuracy.
• Scikit-Learn & Pandas Integration: Seamlessly integrate XGBoost into modern Python data science pipelines.