A machine learning project that classifies news articles into predefined categories using TF-IDF for text vectorization and supervised learning models. The dataset is sourced from Kaggle, and the model performance is evaluated for accuracy.
active 2025-02-23 → 2025-02-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 4 days from 2025-02-23 to 2025-02-26. Pushes: 85 total, peak 46 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 |
|---|---|---|---|---|
| abdullah75f | 85 | 85 | 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.