[DOC] reorg docs

doc/index.md

@@ -7,13 +7,22 @@ for large scale tree boosting.
 
 This document is hosted at http://xgboost.readthedocs.org/. You can also browse most of the documents in github directly.
 
-User Guide
-----------
-* [Installation Guide](build.md)
-* [Introduction to Boosted Trees](model.md)
+
+Package Documents
+-----------------
+This section contains language specific package guide.
+
+* [XGBoost Command Line Usage Walkthrough](../demo/binary_classification/README.md)
 * [Python Package Document](python/index.md)
 * [R Package Document](R-package/index.md)
 * [XGBoost.jl Julia Package](https://github.com/dmlc/XGBoost.jl)
+
+User Guides
+-----------
+This section contains users guides that are general across languages.
+
+* [Installation Guide](build.md)
+* [Introduction to Boosted Trees](model.md)
 * [Distributed Training](../demo/distributed-training)
 * [Frequently Asked Questions](faq.md)
 * [External Memory Version](external_memory.md)
@@ -22,28 +31,24 @@ User Guide
 * [Text input format](input_format.md)
 * [Notes on Parameter Tunning](param_tuning.md)
 
-Developer Guide
----------------
-* [Contributor Guide](dev-guide/contribute.md)
 
 Tutorials
 ---------
-Tutorials are self contained materials that teaches you how to achieve a complete data science task with xgboost, these
-are great resources to learn xgboost by real examples. If you think you have something that belongs to here, send a pull request.
-* [Binary classification using XGBoost Command Line](../demo/binary_classification/) (CLI)
-  - This tutorial introduces the basic usage of CLI version of xgboost
-* [Introduction of XGBoost in Python](python/python_intro.md) (python)
-  - This tutorial introduces the python package of xgboost
+This section contains official tutorials of XGBoost package.
+See [Awesome XGBoost](https://github.com/dmlc/xgboost/tree/master/demo) for links to mores resources.
+
 * [Introduction to XGBoost in R](R-package/xgboostPresentation.md) (R package)
   - This is a general presentation about xgboost in R.
 * [Discover your data with XGBoost in R](R-package/discoverYourData.md) (R package)
   - This tutorial explaining feature analysis in xgboost.
+* [Introduction of XGBoost in Python](python/python_intro.md) (python)
+  - This tutorial introduces the python package of xgboost
 * [Understanding XGBoost Model on Otto Dataset](../demo/kaggle-otto/understandingXGBoostModel.Rmd) (R package)
   - This tutorial teaches you how to use xgboost to compete kaggle otto challenge.
 
-Resources
----------
-See [awesome xgboost page](https://github.com/dmlc/xgboost/tree/master/demo) for links to other resources.
+Developer Guide
+---------------
+* [Contributor Guide](dev-guide/contribute.md)
 
 
 Indices and tables