Predictive Modeling Using Logistic Regression
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.Learn how to
Who should attendModelers, 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.
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Predictive Modeling Using Logistic Regression (V9.3 and V14.2)||16.0 hours||180 days||English||1,320 NZD / 132 ETA|