In an era where clean water is increasingly scarce, ensuring the potability of available water sources is paramount for public health and environmental sustainability. Our project aims to leverage the power of machine learning to develop a predictive model capable of accurately assessing the potability of water samples.
active 2024-02-18 → 2024-06-10 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 114 days from 2024-02-18 to 2024-06-10. Pushes: 5 total, peak 3 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 |
|---|---|---|---|---|
| inki69 | 5 | 5 | 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.