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Hands-On Data Science with SQL Server 2017

You're reading from  Hands-On Data Science with SQL Server 2017

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Pages 506 pages
Edition 1st Edition
Languages
Authors (2):
Marek Chmel Marek Chmel
Profile icon Marek Chmel
Vladimír Mužný Vladimír Mužný
Profile icon Vladimír Mužný
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Data Science Overview 2. SQL Server 2017 as a Data Science Platform 3. Data Sources for Analytics 4. Data Transforming and Cleaning with T-SQL 5. Data Exploration and Statistics with T-SQL 6. Custom Aggregations on SQL Server 7. Data Visualization 8. Data Transformations with Other Tools 9. Predictive Model Training and Evaluation 10. Making Predictions 11. Getting It All Together - A Real-World Example 12. Next Steps with Data Science and SQL 13. Other Books You May Enjoy

Training and using predictive models for estimations

Before now, we have worked hard to know our data and we have made it eligible for predictions. This section is going to create a regression predictive model, where we will be training it and using it for prediction.

Preparing the schema for the model

In chapter 9, Predictive Model Training and Evaluation, we discussed two options for the predictive model storage and versioning. We will use this knowledge to create a simplified physical schema that will be used for a versioned stream of the predictive model.

We'll create a database schema, called Models, in the Phones database, and we will place all objects attending to the predictive modeling into this schema. First...

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