Mastering Gradient Boosting with XGBoost & LightGBM

You'll use the popular XGBoost library to build faster, more accurate models. You'll learn to control model complexity, prevent overfitting with early stopping, and automate parameter tuning with Grid Search for peak performance.

You'll explore LightGBM's unique architecture, focusing on its efficient leaf-wise tree growth and histogram-based algorithms. You'll learn how to leverage its key parameters for model control, compare its performance to other boosting libraries, and gain hands-on experience.