diff --git a/examples/src/main/python/ml/binarizer_example.py b/examples/src/main/python/ml/binarizer_example.py
index 960ad208be12e..317cfa638a5a9 100644
--- a/examples/src/main/python/ml/binarizer_example.py
+++ b/examples/src/main/python/ml/binarizer_example.py
@@ -38,6 +38,6 @@
     binarizedFeatures = binarizedDataFrame.select("binarized_feature")
     for binarized_feature, in binarizedFeatures.collect():
         print(binarized_feature)
-   # $example off$
+    # $example off$
 
     sc.stop()
diff --git a/examples/src/main/python/ml/onehot_encoder_example.py b/examples/src/main/python/ml/onehot_encoder_example.py
index 7529dfd09213a..70a20ac8737c6 100644
--- a/examples/src/main/python/ml/onehot_encoder_example.py
+++ b/examples/src/main/python/ml/onehot_encoder_example.py
@@ -36,7 +36,7 @@
         (4, "a"),
         (5, "c")
     ], ["id", "category"])
-    
+
     stringIndexer = StringIndexer(inputCol="category", outputCol="categoryIndex")
     model = stringIndexer.fit(df)
     indexed = model.transform(df)
diff --git a/examples/src/main/python/ml/pca_example.py b/examples/src/main/python/ml/pca_example.py
index 8b66140a40a7a..a17181f1b8a51 100644
--- a/examples/src/main/python/ml/pca_example.py
+++ b/examples/src/main/python/ml/pca_example.py
@@ -30,9 +30,9 @@
 
     # $example on$
     data = [(Vectors.sparse(5, [(1, 1.0), (3, 7.0)]),),
-        (Vectors.dense([2.0, 0.0, 3.0, 4.0, 5.0]),),
-        (Vectors.dense([4.0, 0.0, 0.0, 6.0, 7.0]),)]
-    df = sqlContext.createDataFrame(data,["features"])
+            (Vectors.dense([2.0, 0.0, 3.0, 4.0, 5.0]),),
+            (Vectors.dense([4.0, 0.0, 0.0, 6.0, 7.0]),)]
+    df = sqlContext.createDataFrame(data, ["features"])
     pca = PCA(k=3, inputCol="features", outputCol="pcaFeatures")
     model = pca.fit(df)
     result = model.transform(df).select("pcaFeatures")
diff --git a/examples/src/main/python/ml/polynomial_expansion_example.py b/examples/src/main/python/ml/polynomial_expansion_example.py
index 030a6132a451a..3d4fafd1a42e9 100644
--- a/examples/src/main/python/ml/polynomial_expansion_example.py
+++ b/examples/src/main/python/ml/polynomial_expansion_example.py
@@ -29,11 +29,11 @@
     sqlContext = SQLContext(sc)
 
     # $example on$
-    df = sqlContext.createDataFrame(
-        [(Vectors.dense([-2.0, 2.3]), ),
-        (Vectors.dense([0.0, 0.0]), ),
-        (Vectors.dense([0.6, -1.1]), )],
-        ["features"])
+    df = sqlContext\
+        .createDataFrame([(Vectors.dense([-2.0, 2.3]), ),
+                          (Vectors.dense([0.0, 0.0]), ),
+                          (Vectors.dense([0.6, -1.1]), )],
+                         ["features"])
     px = PolynomialExpansion(degree=2, inputCol="features", outputCol="polyFeatures")
     polyDF = px.transform(df)
     for expanded in polyDF.select("polyFeatures").take(3):