The Decision Tree Modeling training course covers tree-structured predictive models and the methodology for growing, pruning, and assessing decision trees. In addition, this course discusses many of the auxiliary uses of trees such as exploratory data analysis, dimension reduction, and missing value imputation.
By attending Decision Tree Modeling workshop, delegates will learn to:
- Build tree-structured models including classification trees and regression trees
- Use the methodology for growing, pruning, and assessing decision trees
- Use decision trees for exploratory data analysis, dimension reduction, and missing value imputation
- Understanding of basic statistical concepts.
- Familiar with SAS Enterprise Miner software.
This Decision Tree Modeling class is suitable for Predictive modelers and data analysts who want to build decision trees using SAS Enterprise Miner software.