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SPSS IBMSPSSMBPDA Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| IBM SPSS Modeler Environment | - Streams and nodes concept - Project organization and workflow design - Data sources and import methods |
| Model Evaluation and Validation | - Model accuracy metrics - Training and test dataset split - Model comparison and selection |
| Data Preparation and Transformation | - Feature engineering and derivation - Data formatting and type conversion - Data cleaning and missing value handling |
| Model Building Techniques | - Clustering methods - Association analysis - Classification models - Regression models |
| Model Deployment and Reporting | - Reporting and visualization basics - Model export and deployment concepts |
| Data Mining and Analytics Fundamentals | - CRISP-DM methodology overview - Business understanding and data understanding |
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