Credit Scoring: Case study of Logistic Regression in R
Details
Larry is going to present a case study of provide a Credit Score using Logistic Regression in R. Risk management and credit analysis can be performed simply in the R environment. We will discover how to handle credit data and import into R. We will manage the data and prepare the data for credit risk modeling. We will perform Logistic Regression on the data to score it for risk behavior analysis. This type of analysis can be performed on many risk measurements or other binary classifications.
Please join your fellow Dallas R User Group members to network and share your R experiences.
Where: Univ. of Dallas, Gorman Lecture Hall A
When: Sat. May 18 10:00AM
Parking is avaiable in Lot A. Directions to Univ. of Dallas: http://www.udallas.edu/visitors/directions.html