diff --git a/demo/binary_classification/README.md b/demo/binary_classification/README.md
index 5637bd310..d51276cf4 100644
--- a/demo/binary_classification/README.md
+++ b/demo/binary_classification/README.md
@@ -1,6 +1,6 @@
 Binary Classification
 ====
-This is the quick start tutorial for xgboost CLI version. You can also checkout [../../doc/README.md](../../doc/README.md) for links to tutorial in pyton or R.
+This is the quick start tutorial for xgboost CLI version. You can also checkout [../../doc/README.md](../../doc/README.md) for links to tutorial in python or R.
 
 Here we demonstrate how to use XGBoost for a binary classification task. Before getting started, make sure you compile xgboost in the root directory of the project by typing ```make```
 
@@ -61,10 +61,10 @@ eval[test] = "agaricus.txt.test"
 # The path of test data 
 test:data = "agaricus.txt.test"      
 ```
-We use the [tree booster](https://github.com/tqchen/xgboost/wiki/Tree-Booster) and logistic regression objective in our setting. This indicates that we accomplish our task using classic gradient boosting regression tree(GBRT), which is a promising method for binary classification.
+We use the tree booster and logistic regression objective in our setting. This indicates that we accomplish our task using classic gradient boosting regression tree(GBRT), which is a promising method for binary classification.
 
 The parameters shown in the example gives the most common ones that are needed to use xgboost.
-If you are interested in more parameter settings, the complete parameter settings and detailed descriptions are [here](https://github.com/tqchen/xgboost/wiki/Parameters). Besides putting the parameters in the configuration file, we can set them by passing them as arguments as below:
+If you are interested in more parameter settings, the complete parameter settings and detailed descriptions are [here](../../doc/parameter.md). Besides putting the parameters in the configuration file, we can set them by passing them as arguments as below:
 
 ```
 ../../xgboost mushroom.conf max_depth=6