diff --git a/src/python/03.DecisionTree/DTSklearn.py b/src/python/03.DecisionTree/DTSklearn.py
index f63d2635..a4890961 100644
--- a/src/python/03.DecisionTree/DTSklearn.py
+++ b/src/python/03.DecisionTree/DTSklearn.py
@@ -6,12 +6,6 @@ from sklearn import tree
 from sklearn.metrics import precision_recall_curve
 from sklearn.metrics import classification_report
 from sklearn.cross_validation import train_test_split
-"""
-需要安装依赖模块：
-pip install scikit_learn-0.18-cp27-cp27m-win_amd64.whl
-非常完整的网址：
-http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
-"""
 
 
 def createDataSet():
diff --git a/src/python/apriori.py b/src/python/apriori.py
index 98112685..17d847d3 100644
--- a/src/python/apriori.py
+++ b/src/python/apriori.py
@@ -73,7 +73,7 @@ def apriori(dataSet, minSupport = 0.5):
 def main():
     # project_dir = os.path.dirname(os.path.dirname(os.getcwd()))
     # 1.收集并准备数据
-    # dataMat, labelMat = loadDataSet("%s/resources/Logistic_testdata.txt" % project_dir)
+    # dataMat, labelMat = loadDataSet("%s/resources/Apriori_testdata.txt" % project_dir)
 
 
     # 1. 加载数据