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IBM SPS-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Evaluation and Validation | - Cross-validation techniques - Training and testing split - Model performance metrics |
| Introduction to IBM SPSS Modeler | - Project creation and stream management - CRISP-DM methodology overview - SPSS Modeler interface and workspace overview |
| Deployment and Reporting | - Model deployment options - Generating reports and visualizations - Exporting results and automation workflows |
| Data Modeling Techniques | - Classification models - Association rule mining - Clustering techniques - Regression models |
| Data Access and Preparation | - Handling missing values and outliers - Connecting to data sources - Data import and exploration - Data cleansing and transformation |
