SripathiVR/Microsoft-Classifying-Cybersecurity-Incidents-with-Machine-Learning
View on GitHub ↗Related repositories →Microsoft Cybersecurity Incident Classification develops a machine learning model to classify cybersecurity incidents as True Positive, Benign Positive, or False Positive, improving SOC efficiency. It includes detailed documentation and model performance evaluation.
active 2024-08-30 → 2024-10-22 (UTC)
Activity over time
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Line chart, 54 days from 2024-08-30 to 2024-10-22. Pushes: 16 total, peak 8 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| SripathiVR | 16 | 16 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.