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Learner Reviews & Feedback for Predictive Modeling with Logistic Regression using SAS by SAS
63 ratings
About the Course
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. You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. You also learn to assess model performance and compare models.
Top reviews
RM
Jun 14, 2021
Thank you so much to the instructor, Michael J Patetta for teaching this course!
SS
Apr 10, 2021
Great training sets of problems. Good guidance & teaching.
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