clean up

README.md

@@ -35,9 +35,3 @@ Build
 * Possible way to build using Visual Studio (not tested):
   - In principle, you can put src/xgboost.cpp and src/io/io.cpp into the project, and build xgboost.
   - For python module, you need python/xgboost_wrapper.cpp and src/io/io.cpp to build a dll.
-
-
-Using XGBoost in Graphlab Create
-=====
-* Graphlab Create (GLC) is a scalable machine learning toolkit that allows you to deal with big data in python
-* XGBoost is adopted by boosted tree library in GLC. The GLC version allows you to do feature engineering, hyper-parameter searching and visualization in one framework. See the nice blogpost about [predicting bike sharing demand](http://blog.graphlab.com/using-gradient-boosted-trees-to-predict-bike-sharing-demand).