This course provides an overview of the Risk Modeling nodes in SAS Visual Machine Learning. It prepares members of your organization to develop scorecards. The course includes hands-on demonstrations and teaches you key concepts, terminology, and base functionality that are integral to visual risk modeling.
The e-learning course covers Risk Modeling Add-on for SAS Visual Machine Learning, including previous versions.
Learn how to
use SAS Visual Machine Learning to:
- Add data to the pipeline.
- Insert an Interactive Grouping node into the pipeline and specify grouping options.
- Add a Scorecard node to generate a scorecard.
- Control the selection and optimization option of the logistic regression model.
- Manually adjust bins and scorecard cutoff values.
- Insert a Reject Inference node into the pipeline.
Who should attend
Modelers, credit analysts, and others who are interested in risk modeling
Formats available | Standard Duration | | |
e-Learning: |
8 hours/180 day license |
|
Before attending this course, you should have completed the Machine Learning Using SAS Viya course. Other prerequisites are knowledge of and experience with logistic regression, which you can gain by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression and Forecasting Using Model Studio in SAS Viya courses.
This course addresses SAS Viya software.
This course addresses Risk Modeling Add-on for SAS Visual Machine Learning in SAS Viya. This course also touches on SAS Visual Analytics software.
