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articles/sql-database/sql-database-tutorial-predictive-model-build-compare.md

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In part two of this three-part tutorial series, you'll create two predictive models in R with Azure SQL Database Machine Learning Services (preview), and then select the most accurate model.
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This tutorial is **part two of a three-part tutorial series**.
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In part two, you'll learn how to:
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In this article, you'll learn how to:
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> [!div class="checklist"]
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> * Train two machine learning models
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1. Select your TutorialDB database.
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1. On the **Overview** page, select **Delete**.
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## Next Steps
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## Next steps
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In part two of this tutorial series, you completed these steps:
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articles/sql-database/sql-database-tutorial-predictive-model-deploy.md

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You'll create a stored procedure with an embedded R script that makes predictions using the model. Because your model executes in the Azure SQL database, it can easily be trained against data stored in the database.
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This tutorial is **part three of a three-part tutorial series**.
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In part three, you'll learn how to:
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In this article, you'll learn how to:
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> [!div class="checklist"]
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> * Store the predictive model in a database table
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1. Select your TutorialDB database.
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1. On the **Overview** page, select **Delete**.
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## Next Steps
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## Next steps
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In part three of this tutorial series, you completed these steps:
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articles/sql-database/sql-database-tutorial-predictive-model-prepare-data.md

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For this tutorial series, imagine you own a ski rental business and you want to predict the number of rentals that you'll have on a future date. This information will help you get your stock, staff, and facilities ready.
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This tutorial is **part one of a three-part tutorial series**.
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In part one, you'll learn how to:
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In this article, you'll learn how to:
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> [!div class="checklist"]
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> * Import a sample database into an Azure SQL database
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1. Select your TutorialDB database.
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1. On the **Overview** page, select **Delete**.
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## Next Steps
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## Next steps
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In part one of this tutorial series, you completed these steps:
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