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| Section | Objectives |
|---|---|
| Model Implementation and Deployment | - Monitoring model performance in production - Model scoring and deployment in SAS Enterprise Miner |
| Exploratory Data Analysis | - Visualization techniques for pattern discovery - Descriptive statistics and data profiling |
| Business Understanding and Analytical Framework | - Define business objectives and analytics goals - Translate business problems into data mining tasks |
| Model Evaluation and Validation | - Model comparison and selection - Model performance metrics - Validation and cross-validation techniques |
| Model Development | - Decision trees and ensemble methods - Regression modeling techniques - Neural networks and advanced modeling in SAS Enterprise Miner |
| Data Understanding and Preparation | - Data cleaning and preprocessing - Handling missing values and outliers - Data collection and data source identification - Feature selection and transformation |
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