Risk Modeling Add-on for SAS® Visual Machine Learning: Using Credit Scoring Nodes
1h 24m + Hands-On Practice
Available in:
Risk Modeling Add-on for SAS® Visual Machine Learning: Using Credit Scoring Nodes
RVRM : RVRM11
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.
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
Prerequisites
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.
SAS Products Covered
SAS Viya
Course Outline
Introduction to Risk Modeling Add-onDefine credit risk. Define scorecards. Understand the risk modeling workflow. Interactive Grouping Node Understand the purpose of grouping. Identify measures used to determine the overall predictive power of a characteristic. Add an Interactive Grouping node to the pipeline. Manage bins interactively. Scorecard Node Understand basic logistic regression selection methods. Add a Scorecard node to the pipeline. Manage scorecard points and ranges interactively.Reject Inference Node Define the reason for using a Reject Inference node. Add a Reject Inference node to the pipeline.
Live Class Schedule
Duration: 8 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.