XGBoost is a Kaggle favorite! - #829
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Added xgboost library
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What is this Python project?
XGBoost is a gradient boosting library. It's one of the most popular GB libraries used among Kaggle users because it's yielded some of the highest scores. And its also a favorite with some of the champions.
Here's an example of its use with an Otto dataset: https://www.kaggle.com/tqchen/otto-group-product-classification-challenge/understanding-xgboost-model-on-otto-data
Here is a Kaggle first place team winner, showing their love for it: http://blog.kaggle.com/2015/12/03/dato-winners-interview-1st-place-mad-professors/
Describe features.
What's the difference between this Python project and similar ones?
This library is solely for gradient boosting.
This resolves issue #821.
Enumerate comparisons.
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