Fraudulent posts and e-mails are problematic for companies, because the victims of fraud are much less likely to use their services again. This project uses Natural Language Processing to identify fraudulent transactions on a major on-line registration service for event organizers needing further manual review.
active 2023-08-24 → 2023-08-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2023-08-24 to 2023-08-25. Pushes: 0 total, peak 0 in a day. Pull requests: 3 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| RodrigoGonzalez | 3 | 0 | 3 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#3RodrigoGonzalez2023-08-25 02:43
- Pull request#3RodrigoGonzalez2023-08-25 02:43
- Pull request#2RodrigoGonzalez2023-08-24 20:23
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.