Utilizing PySpark, we devised a robust fraud detection system analyzing Capital One's daily banking data to identify potential fraud. Leveraging PySpark SQL for data analysis and MLlib for precise predictive modeling, our team demonstrated expertise in crafting scalable solutions, fostering enhanced banking security
active 2023-09-04 → 2024-04-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 234 days from 2023-09-04 to 2024-04-24. Pushes: 3 total, peak 2 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 |
|---|---|---|---|---|
| Aatmaj1 | 3 | 3 | 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.