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SASInstitute A00-401 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Sources | 30% | - Create a project in Model Studio - Understand variable types and measurement scales - Reduce dimensionality and handle redundancy - Use Variable Selection node - Explore and modify data |
| Topic 2: Building Models | 50% | - Neural networks - Regression models - Incorporate external and custom code - Support vector machines - Supervised learning concepts - Autotuning and regularization - Decision trees and ensemble models |
| Topic 3: Model Assessment and Deployment | 20% | - Export score code - Register and publish models - Model evaluation principles - Fit statistics, ROC, Lift and comparison reports - Model comparison in Model Studio |
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