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 by
Difficulty Level
Intermediate
Completion Time
7h56m
Language
English
About Book
Who Is This Book For?
This book is ideal for those who are new to SPSS Modeler and want to start using it as quickly as possible, without going into too much detail. An understanding of basic data mining concepts will be helpful, to get the best out of the book.
IBM SPSS Modeler Essentials
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 7h56m total length
Introduction to Data Mining
The Basics of Using Modeler
Importing Data into Modeler
Data Quality and Exploration
Cleaning and Selecting Data
Combining Data Files
Combining and Restructuring Data
Looking for Relationships between Fields
Introduction to Modeling Options in IBM SPSS Modeler
Decision Tree Models
Model Assessment and Scoring
Related Resources
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