In this chapter, we will cover the following recipes:

• Introduction to boosting
• Implementing AdaBoost for disease risk prediction using scikit-learn
• Implementing gradient boosting for disease risk prediction using scikit-learn
• Implementing extreme gradient boosting for glass identification using XGBoost with scikit-learn