A machine learning project that categorizes products into predefined classes (Electronics, Fashion, Home, Sports) based on their descriptions. The project includes data processing, model training, and evaluation components, with a well-organized structure for easy usage and extension.
active 2024-05-13 → 2024-05-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 6 days from 2024-05-13 to 2024-05-18. Pushes: 11 total, peak 5 in a day. Pull requests: 8 total, peak 4 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 |
|---|---|---|---|---|
| gelifatsy | 19 | 11 | 8 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#5gelifatsy2024-05-18 15:12
- Pull request#5gelifatsy2024-05-18 15:12
- Pull request#4gelifatsy2024-05-18 15:10
- Pull request#4gelifatsy2024-05-18 15:09
- Pull request#3gelifatsy2024-05-16 12:44
- Pull request#2gelifatsy2024-05-13 12:58
- Pull request#1gelifatsy2024-05-13 12:53
- Pull request#1gelifatsy2024-05-13 12:53
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.