Update Day 11 K-NN.md

Code/Day 11 K-NN.md

@@ -25,18 +25,19 @@ X = dataset.iloc[:, [2, 3]].values
 y = dataset.iloc[:, 4].values
 ```
 
-## Splitting the dataset into the Training set and Test set
-```python
-from sklearn.cross_validation import train_test_split
-X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0)
-```
 ## Feature Scaling
 ```python
 from sklearn.preprocessing import StandardScaler
 sc = StandardScaler()
-X_train = sc.fit_transform(X_train)
-X_test = sc.transform(X_test)
+X = sc.fit_transform(X)
+```
+
+## Splitting the dataset into the Training set and Test set
+```python
+from sklearn.cross_validation import train_test_split
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0)
 ```
+
 ## Fitting K-NN to the Training set
 ```python
 from sklearn.neighbors import KNeighborsClassifier