Predictive Modeling with IBM SPSS Modeler

This course demonstrates how to develop models to predict categorical and continuous outcomes, using such techniques as neural networks, decision trees, logistic regression, support vector machines, and Bayesian network models. Use of the binary classifier and numeric predictor nodes to automate model selection is included. Feature selection and detection of outliers are discussed. Expert options for each modeling node are reviewed in detail and advice is provided on when and how to use each model. You will also learn how to combine two or more models to improve prediction. Independent Study Only: Syllabus is provided for each week's study and materials are completed privately by each participant. 1 time per week students will meet on-line to review course exercises with a Live Instructor.