PRESENTS
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[Describe what you built: e.g., Python pipeline using Scikit-learn, a Power BI dashboard, or an RPA bot.]
Architecture diagram (describe in text or insert figure):
| Model | Accuracy | Precision | Recall | F1 Score | |----------------|----------|-----------|--------|-----------| | Baseline (rule) | 0.72 | 0.68 | 0.45 | 0.54 | | Proposed | 0.89 | 0.91 | 0.88| 0.89 |
Figure 1: ROC curves (describe or attach plot)
SSIS698 is a flexible, graduate-level special topics course focused on advanced concepts and applied research in spatial information systems, social sensing, and interdisciplinary data science. The course emphasizes critical review of current literature, hands-on project work, and the development of novel methods for collecting, processing, analyzing, and visualizing spatial and social data.
The results confirm that [technology] effectively addresses [problem] because [reason].