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XGBoost Documentation
====
This is an ongoing effort to move the [wiki document](https://github.com/dmlc/xgboost/wiki) to here.
This is an ongoing effort to move the [wiki document](https://github.com/dmlc/xgboost/wiki) to here. You can already find all the most useful parts here.
List of Documentations
====
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This section is about blogposts, presentation and videos discussing how to use xgboost to solve your interesting problem. If you think something belongs to here, send a pull request.
* Blogpost by phunther: [Winning solution of Kaggle Higgs competition: what a single model can do](http://no2147483647.wordpress.com/2014/09/17/winning-solution-of-kaggle-higgs-competition-what-a-single-model-can-do/)
* [Kaggle Tradeshift winning solution by daxiongshu](https://github.com/daxiongshu/kaggle-tradeshift-winning-solution)
* Video tutorial: [Better Optimization with Repeated Cross Validation and the XGBoost model - Machine Learning with R](https://www.youtube.com/watch?v=Og7CGAfSr_Y)
* Presention of a real use case of XGBoost to prepare tax audit in France: [Feature Importance Analysis with XGBoost in Tax audit](http://fr.slideshare.net/MichaelBENESTY/feature-importance-analysis-with-xgboost-in-tax-audit)
Contribution
====
Contribution of document usecases are welcomed!
Contribution of document and usecases are welcomed!

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Using XGBoost External Memory Version
Using XGBoost External Memory Version(beta)
====
There is no big difference between using external memory version and in-memory version.
The only difference is the filename format.