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/STAT software.
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Predictive Modeling Using Logistic Regression||16.0 hours||180 days from order date||English||1,320 NZD / 1,320 ETA|
Classroom and Live Web Schedule
View: New Zealand | Nearby | Asia Pacific
This course is not currently scheduled in the classroom. Contact us to discuss public schedule dates or private training options for your group.