- Learn what Boosting is and how use it in ML
- Learn what Gradient Boosting Machines are and how to use them to build ML models
- Learn to configure GBM using early-stopping and hyperparameter tuning to achieve superior performance
- Learn how to interpret XGBoost models
- Implementation of GBM using sklearn library
- Building, Saving and Reloading models using XGBoost library
- Implementing Early-stopping and Hyperparameter tuning
- Interpreting and visualizing XGBoost models
To be updated
To be updated