Kursbeskrivning: Predicting Continuous Targets Using IBM SPSS Modeler

Predicting Continuous Targets Using IBM SPSS Modeler is a one day, instructor-led classroom, intermediate level course that provides an overview of how to use Modeler to predict a target field that describes numeric values. Some examples include: predicting the length of subscription (for newspapers, telecommunication), predicting claim amount (insurance), predicting donation amount (charity), predicting revenues (sales).

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This course follows the 'Introduction to IBM SPSS Modeler and Data Mining' course and is essential for anyone who wishes to become familiar with a number of modeling techniques available in IBM SPSS Modeler used to predict a continuous target. This would include Data Analysts and analytics business users.

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You should have:

• Experience using IBM SPSS Modeler
• Prior completion of Introduction to IBM SPSS Modeler and Data Mining is recommended.
• An introductory course in statistics, or equivalent experience, is helpful.

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Please refer to course overview.

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• Predicting Continuous Targets in Context
• Predicting Continuous Targets with Rule Induction Models (interactive and direct mode)
• Predicting Continuous Targets with Statistical Models
• Predicting Continuous Targets with Machine Learning Models

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