ARIMA lesson formatting

7-TimeSeries/2-ARIMA/README.md

@@ -118,12 +118,14 @@ Now, you need to prepare the data for training by performing two tasks:
 print('Training data shape: ', train.shape)
 print('Test data shape: ', test.shape)
 ```
+ 
     You can see the shape of the data:
 
+```output
 Training data shape:  (1416, 1)
 Test data shape:  (48, 1)
-
+```
-    1. Scale the data to be in the range (0, 1).
+   2. Scale the data to be in the range (0, 1).
 
 ```python
 scaler = MinMaxScaler()