ARIMA lesson formatting

4 years ago · 95090c4f32
parent 5161ba2f19
commit 95090c4f32
1 changed files with 17 additions and 15 deletions
--- a/7-TimeSeries/2-ARIMA/README.md
+++ b/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()