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[](./LICENSE)
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[](./LICENSE)
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[](http://cran.r-project.org/web/packages/xgboost)
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[](http://cran.r-project.org/web/packages/xgboost)
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[](https://pypi.python.org/pypi/xgboost/)
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[](https://pypi.python.org/pypi/xgboost/)
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[](https://gitter.im/dmlc/xgboost?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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[Community](https://xgboost.ai/community) |
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[Documentation](https://xgboost.readthedocs.org) |
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[Documentation](https://xgboost.readthedocs.org) |
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[Resources](demo/README.md) |
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[Resources](demo/README.md) |
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[Contributors](CONTRIBUTORS.md) |
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[Contributors](CONTRIBUTORS.md) |
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[Community](https://xgboost.ai/community) |
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[Release Notes](NEWS.md)
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[Release Notes](NEWS.md)
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XGBoost is an optimized distributed gradient boosting library designed to be highly ***efficient***, ***flexible*** and ***portable***.
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XGBoost is an optimized distributed gradient boosting library designed to be highly ***efficient***, ***flexible*** and ***portable***.
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