Predictive Modeling with Logistic Regression using SAS
About this 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.Created by: SAS
Related Online Courses
Ever wondered how we can use AI in programing to make our workloads easier? In this 2-hour long project-based course, you will master the art of prompt engineering to design an educational tool... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will continue working on your Pigeon Travel virtual agent and add a phone gateway to allow users to call into... more
In this course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, we will be discussing the emergence of a new story about business. This... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use Liquid parameters and templated filters to enhance interactivity by users in Looker.Created by:... more
Powered by
