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