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This Predictive Modeling Online 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. In this SPSS Online Course 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.
1: Introduction to predictive models for continuous targets
2: Building decision trees interactively
3: Building decision trees directly
4. Using traditional statistical models
5: Using machine learning models
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.
1: Introduction to predicting continuous targets
2: Building decision trees interactively
3: Building your tree directly
4: Using traditional statistical models
5: Using machine learning models