In this video you will learn about hyperparameter tuning for XGBoost models using optuna. We also will leverage XGBoost 3.0's GPU support for 5-15x speedup (no code changes required) while training the models. Kaggle notebook here: Timeline: 00:00 Intro 01:23 Parameter Tuning Must Knows 03:57 Environment Setup 05:11 Why Hyperparameter Tuning? 06:57 Dataset Prep 08:48 Parameter Search Example 10:49 Tuning with Optuna 14:20 Speed up XGBoost with GPU Acceleration 16:12 Fully GPU Accelerated Pipeline 17:37 Optuna Visualizations