This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure.
This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets.
Modelers, analysts, and statisticians who need to build predictive models, particularly models from the banking, financial services, direct marketing, insurance, and telecommunications industries
Before attending this course, you should:
This course addresses SAS/SHARE software.
Learn how to:
Predictive Modeling
Fitting the Model
Preparing the Input Variables
Classifier Performance
Join our public courses in our Hong Kong facilities. Private class trainings will be organized at the location of your preference, according to your schedule.