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Update to Readme for new Python tutorial
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samples/features/machine-learning-services/python/getting-started/rental-prediction/README.md

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# Build a predictive model with SQL Server Python
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# Build a predictive model with Python using SQL Server 2017 Machine Learning Services
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This sample shows how to create a predictive model in Python and operationalize it with SQL Server vNext.
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<!-- Delete the ones that don't apply -->
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- **Applies to:** SQL Server vNext
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- **Applies to:** SQL Server 2017 CTP2.0 or higher
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- **Key features:**SQL Server Machine Learning Services
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- **Workload:** SQL Server Machine Learning Services
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- **Programming Language:** T-SQL, Python
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**Software prerequisites:**
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<!-- Examples -->
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1. SQL Server vNext CTP2.0 (or higher) with Machine Learning Services (Python) installed
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1. SQL Server 2017 CTP2.0 (or higher) with Machine Learning Services (Python) installed
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2. SQL Server Management Studio
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3. Python Tools for Visual Studio
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Service uses Tedious library for data access and built-in JSON functionalities that are available in SQL Server 2016 and Azure SQL Database.
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<a name=disclaimers></a>
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## Disclaimers
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The code included in this sample is not intended demonstrate some general guidance and architectural patterns for web development.
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It contains minimal code required to create a REST API.
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You can easily modify this code to fit the architecture of your application.
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<a name=related-links></a>
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## Related Links
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<!-- Links to more articles. Remember to delete "en-us" from the link path. -->
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For additional content, see these articles:
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[SQL Server R Services - Upgrade and Installation FAQ](https://msdn.microsoft.com/en-us/library/mt653951.aspx)
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[Other SQL Server R Services Tutorials](https://msdn.microsoft.com/en-us/library/mt591993.aspx)
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[Watch a presentation about predictive modeling in SQL Server, that also goes through this sample](https://www.youtube.com/watch?v=YCyj9cdi4Nk&feature=youtu.be)

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