Exam 3: Predictive Modeling – Methods and Techniques

This course covers the concepts, methods and tools used for statistical analyses, predictive modeling and data analytics with applications for P&C insurance applications. The focus of this course is on advanced tools using various multivariate regression techniques, statistical modeling, machine learning and practical applications.

• Identifying the business problem
• Designing the model
• Preparing the data
• Selecting features
• How to choose a model
• Interpreting the output
• Sharing the output

Detailed Learning Objectives for Predictive Modeling – Methods and Techniques

CSPA Exam 3 Study Kit for purchase

Sample Exam

Data Set for Frees, Meyers, Chapter 7

Study Notes

Study Note: Model Validation and Holdout Data

Study Note: Truncation and Censoring

Study Note: Credibility