The IBM SPSS Modeler - Predictive Modeling for Continuous Targets training course provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Attendees 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. Attendees are introduced to machine learning models, such as Neural Networks.
- Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and a basic knowledge of modeling.
- Attend IBM SPSS Modeler - Data Science course or have equivalent experience.
- This IBM SPSS Modeler - Predictive Modeling for Continuous Targets workshop is ideal for: SPSS Modeler Analysts who want to become familiar with the modeling techniques available in IBM SPSS Modeler to predict a continuous target.