This project predicts machine failures using data science. Leveraging the AI4I Predictive Maintenance Dataset, it aims to identify potential faults and their nature, enabling proactive and cost-effective maintenance. Key models include KNN, SVC, and RFC. Ensemble, and Neaural Networks
active 2023-11-24 → 2023-11-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-11-24 to 2023-11-24. Pushes: 4 total, peak 4 in a day. Pull requests: 2 total, peak 2 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 |
|---|---|---|---|---|
| lyon98-dbios | 6 | 4 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
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.