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SAS ® Certified Predictive Modeler Using SAS. For candidates with considerable experience in predictive modeling with SAS Enterprise Miner.
Predictive Modeling In Sas
Table of Contents
Sas Enterprise Miner Documentation
- Chapter 1: Research Strategy
- 1.3 Defining the Target
- 1.4 Sources of Modeling Data
- 1.5 Pre-Processing the Data
- 1.6 Alternative Modeling Strategies
- Chapter 2: Getting Started with Predictive Modeling
- 2.7 Sample Nodes
- 2.8 Tools for Initial Data Exploration
- 2.9 Tools for Data Modification
- 2.10 Utility Nodes
- 2.11 Appendix to Chapter 2
- Chapter 3: Variable Selection and Transformation of Variables
- 3.2 Variable Selection
- 3.3 Variable Selection Using the Variable Clustering Node
- 3.5 Transformation of Variables
- 3.7 Appendix to Chapter 3
- Chapter 4: Building Decision Tree Models to Predict Response and Risk
- 4.2 An Overview of the Tree Methodology in SAS Enterprise Miner
- 4.3 Development of the Tree in SAS Enterprise Miner
- 4.4 A Decision Tree Model to Predict Response to Direct Marketing
- 4.5 Developing a Regression Tree Model to Predict Risk
- 4.6 Developing Decision Trees Interactively
- 4.8 Appendix to Chapter 4
- Chapter 5: Neural Network Models to Predict Response and Risk
- 5.1 Introduction
- 5.2 A General Example of a Neural Network Model
- 5.4 A Neural Network Model to Predict Response
- 5.5 A Neural Network Model to Predict Loss Frequency in Auto Insurance
- 5.6 Alternative Specifications of the Neural Networks
- 5.7 Comparison of Alternative Built-in Architectures of the Neural Network Node
- Chapter 6: Regression Models
- 6.2 What Types of Models Can Be Developed Using the Regression Node?
- 6.3 An Overview of Some Properties of the Regression Node
- 6.4 Business Applications
- Chapter 7: Comparison and Combination of Different Models
- 7.2 Models for Binary Targets: An Example of Predicting Attrition
- 7.3 Models for Ordinal Targets: An Example of Predicting the Risk of Accident Risk
- 7.5 Boosting and Combining Predictive Models
- 7.6 Appendix to Chapter 7
- Chapter 8: Customer Profitability
- Chapter 9: Introduction to Predictive Modeling with Textual Data
- 9.1 Introduction
- 9.2 Retrieving Documents from the World Wide Web
- 9.7 Text Filter Node
- 9.8 Text Topic Node
- 9.9 Text Cluster Node