XGBoost Python Feature Walkthrough
====
* [Basic walkthrough of wrappers](basic_walkthrough.py) 
* [Cutomize loss function, and evaluation metric](custom_objective.py)
* [Boosting from existing prediction](boost_from_prediction.py)
* [Predicting using first n trees](predict_first_ntree.py)
* [Generalized Linear Model](generalized_linear_model.py)
* [Cross validation](cross_validation.py)
* [Predicting leaf indices](predict_leaf_indices.py)
* [Sklearn Wrapper](sklearn_example.py)
* [External Memory](external_memory.py)