Predictive Modeling with Logistic Regression using SAS

Predictive modeling with SAS/STAT software is covered in this course, with a focus on the LOGISTIC process. Selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, analyzing models, addressing missing values, and employing efficiency strategies for big data sets are all covered in this course.

Find out how to: To model an individual's behavior as a function of known inputs, use logistic regression, Using ODS Statistical Graphics, create effect plots and odds ratio graphs, Handle data values that are missing, Multicollinearity in your predictors should be addressed, Model performance is evaluated, and models are compared.

THE SKILLS YOU WILL DEVELOP:

• Oversampling
• Logistic Regression
• Predictive Modeling
• regression

Rating: 4.6/5

Enroll here: coursera.org/learn/sas-predictive-modeling-using-logistic-regression