Book

IBM SPSS Modeler Essentials

IBM SPSS Modeler allows quick, efficient predictive analytics and insight building from your data, and is a popularly used data mining tool. This book will guide you through the data mining process, and presents relevant statistical methods which are used to build predictive models and conduct other analytic tasks using IBM SPSS Modeler. From importing the data to finding hidden relationships within it, you will be able to build solid data mining solutions and then deploy them to production. The book also contains valuable information on evaluating and enhancing the performance of your data models.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
7h56m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 7h56m total length

1. Introduction to Data Mining
2. The Basics of Using Modeler
3. Importing Data into Modeler
4. Data Quality and Exploration
5. Cleaning and Selecting Data
6. Combining Data Files
7. Combining and Restructuring Data
8. Looking for Relationships between Fields
9. Introduction to Modeling Options in IBM SPSS Modeler
10. Decision Tree Models
11. Model Assessment and Scoring

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