Updated Readme Python

Author: negust-microsoft

samples/features/machine-learning-services/python/getting-started/predictive-model/README.md

@@ -60,18 +60,13 @@ Saves the predicted results to a DB table </br>
 
 This sample shows how to create a predictive model with Python and generate predictions using the model and deploy that in SQL Server with SQL Server Machine Learning Services. 
 
-### Predictive Model.py
+### predictive_model.py
 The Python script that generates a predictive model and uses it to predict rental counts
 
-### Predictive Model.SQL
+### predictive_model_python.sql
 Takes the Python code in Predictive Model.py and deploys it inside SQL Server. Creating stored procedures and tables for training, storing models and creating stored procedures for prediction.
 
-### app.js 
-File that contains startup code.
-### db.js 
-File that contains functions that wrap Tedious library
-### predictions.js 
-File that contains action that will be called to get the predictions
+
 
 Service uses Tedious library for data access and built-in JSON functionalities that are available in SQL Server 2016 and Azure SQL Database.