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Merge pull request #217 from davidsalgado/patch-1

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upddated readme.md
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Umachandar Jayachandran
2017-04-26 21:11:24 -07:00
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samples/features/machine-learning-services/python/getting-started/rental-prediction/README.md
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@@ -23,7 +23,7 @@ In this sample, you will learn how to create a predictive model in python and op
<!-- Delete the ones that don't apply -->
- **Applies to:** SQL Server 2017 CTP2.0 or higher
- **Key features:**SQL Server Machine Learning Services
- **Key features:** SQL Server Machine Learning Services
- **Workload:** SQL Server Machine Learning Services
- **Programming Language:** T-SQL, Python
- **Authors:** Nellie Gustafsson
@@ -34,17 +34,17 @@ In this sample, you will learn how to create a predictive model in python and op
## Before you begin
To run this sample, you need the following prerequisites: </br>
Download a DB backup file and restore it using Setup.sql. [Download DB](https://deve2e.azureedge.net/sqlchoice/static/TutorialDB.bak)
[Download this DB backup file](https://deve2e.azureedge.net/sqlchoice/static/TutorialDB.bak) and restore it using Setup.sql.
**Software prerequisites:**
<!-- Examples -->
1. SQL Server 2017 CTP2.0 (or higher) with Machine Learning Services (Python) installed
2. SQL Server Management Studio
3. Python Tools for Visual Studio or another Python IDE
1. [SQL Server 2017 CTP2.0](https://www.microsoft.com/en-us/sql-server/sql-server-2017) (or higher) with Machine Learning Services (Python) installed
2. [SQL Server Management Studio](https://docs.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms)
3. [Python Tools for Visual Studio](https://www.visualstudio.com/vs/python/) or another Python IDE
## Run this sample
1. From SQL Server Management Studio or SQL Server Data Tools connect to your SQL Server vNext database and execute setup.sql to restore the sample DB you have downloaded </br>
1. From SQL Server Management Studio, or SQL Server Data Tools, connect to your SQL Server 2017 database and execute setup.sql to restore the sample DB you have downloaded </br>
2. From SQL Server Management Studio or SQL Server Data Tools, open the rental_prediction.sql script </br>
This script sets up: </br>
Necessary tables </br>