H2 consistency feedback

Author: mrbullwinkle

articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-python.md

@@ -6,7 +6,7 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: cognitive-services
 ms.topic: include
-ms.date: 09/30/2022
+ms.date: 10/13/2022
 ms.author: mbullwin
 recommendations: false
 ---
@@ -94,7 +94,7 @@ This quickstart uses the `request-data.csv` file that can be downloaded from our
 curl "https://raw.githubusercontent.com/Azure/azure-sdk-for-python/main/sdk/anomalydetector/azure-ai-anomalydetector/samples/sample_data/request-data.csv" --output request-data.csv
 ```
 
-## Create a new Python application
+## Detect an anomaly from an entire time series
 
 1. Create a new Python file called quickstart.py. Then open it up in your preferred editor or IDE.