Project Goal: Develop a predictive model for fraud detection in a financial dataset (CSV, 6,362,620 rows, 10 columns). Utilize model insights to create an actionable plan. This project emphasizes statistical analysis and creative judgment for optimal results in fraud prevention.
active 2023-09-05 → 2023-09-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-09-05 to 2023-09-05. Pushes: 4 total, peak 4 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.
- 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 |
|---|---|---|---|---|
| Nida-16 | 4 | 4 | 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.