Predictive Modeling for Continuous Targets Using IBM SPSS Modeler v18.1.1 0A0V8G

Duration: 
1 days
Codes: 
0A0V8G
Versions: 
V18.1.1

Overview

This course provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and C&R Tree. They will also be introduced to traditional statistical models such as Linear Regression. Students are introduced to machine learning models, such as Neural Networks. Business use case examples include: predicting the length of subscription for newspapers, telecommunication, and job length, as well as predicting insurance claim amounts.

Audience

IBM SPSS Modeler Analysts who have completed the Introduction to IBM SPSS Modeler and Data Mining course who want to become familiar with the modeling techniques available in IBM SPSS Modeler to predict a continuous target.

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Course Location Days Cost Date
Live Virtual Live Virtual1 750 £750 2019-09-18
Live Virtual Live Virtual1 750 £750 2019-10-24
Live Virtual Live Virtual1 750 £750 2019-11-18
Live Virtual Live Virtual1 750 £750 2019-12-06
Live Virtual Live Virtual1 750 £750 2020-01-20