diff --git a/src/python/6.SVM/sklearn-svm-demo.py b/src/python/6.SVM/sklearn-svm-demo.py
index 23f42a58..b8d6841f 100644
--- a/src/python/6.SVM/sklearn-svm-demo.py
+++ b/src/python/6.SVM/sklearn-svm-demo.py
@@ -9,9 +9,10 @@ SVM：最大边距分离超平面
 《机器学习实战》更新地址：https://github.com/apachecn/MachineLearning
 sklearn-SVM译文链接: http://cwiki.apachecn.org/pages/viewpage.action?pageId=10031359
 """
-import numpy as np
 import matplotlib.pyplot as plt
+import numpy as np
 from sklearn import svm
+
 print(__doc__)
 
 
diff --git a/src/python/7.AdaBoost/sklearn-adaboost-demo.py b/src/python/7.AdaBoost/sklearn-adaboost-demo.py
index 6d3b1ac2..f313aefe 100644
--- a/src/python/7.AdaBoost/sklearn-adaboost-demo.py
+++ b/src/python/7.AdaBoost/sklearn-adaboost-demo.py
@@ -4,22 +4,18 @@
 """
 Created on 2017-07-10
 Updated on 2017-07-10
-@author: 片刻
+@author: 片刻／Noel Dawe 
 《机器学习实战》更新地址：https://github.com/apachecn/MachineLearning
 sklearn-AdaBoost译文链接: http://cwiki.apachecn.org/pages/viewpage.action?pageId=10813457
 """
-print(__doc__)
-
-# Author: Noel Dawe <noel.dawe@gmail.com>
-#
-# License: BSD 3 clause
-
 import matplotlib.pyplot as plt
 import numpy as np
 from sklearn.datasets import make_gaussian_quantiles
 from sklearn.ensemble import AdaBoostClassifier
 from sklearn.tree import DecisionTreeClassifier
 
+print(__doc__)
+
 # Construct dataset
 X1, y1 = make_gaussian_quantiles(cov=2.,
                                  n_samples=200, n_features=2,