Exam Name: SAS Advanced Predictive Modeling
Certification Provider: SASInstitute
Corresponding Certification: SASInstitute Certification
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SASInstitute A00-225 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Predictive Modeling Techniques | - Neural networks and ensemble methods - Decision trees and rule-based models - Regression models (linear and logistic regression) |
| SEMMA Methodology and Enterprise Miner Environment | - SAS Enterprise Miner project workflow and nodes - Understanding SEMMA process (Sample, Explore, Modify, Model, Assess) |
| Data Exploration and Preparation | - Feature selection and variable reduction techniques - Data cleaning, missing value handling, and transformations |
| Model Assessment and Validation | - Lift charts, ROC curves, and confusion matrix - Model comparison and selection strategies |
| Model Deployment Concepts | - Scoring data and operationalizing models |
| Clustering and Segmentation | - K-means clustering and hierarchical clustering |
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