Gradient Boosting with XGBoost (5/6) | Machine Learning with Python: Zero to GBMs

💻 Lecture 5 of the Machine Learning with Python: Zero to GBMs course. In this lesson, you will download a real-world dataset from a Kaggle competition and train a gradient boosting model using XGBoost. Course page: 🔗 Notebooks used: 🎯 Topics Covered - Training and evaluating an XGBoost model - Data normalization and cross-validation - Hyperparameter tuning and regularization ⌚ Time Stamps COMING SOON 💻 Join the Jovian Discord Server: ❓ Ask questions on the Jovian Forum: 👉 Add the course schedule to your calendar: 🎤 About the speaker Aakash N S is the co-founder and CEO of Jovian - a community learning platform for data science & ML. Prev