A Naive Bayes Model is created to classify Emails as Spam and Ham. NLP Techniques are used to preprocess data.
active 2024-05-06 → 2024-05-06 (UTC)
Complete coverage26,613 / 26,613 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-27 (UTC)
Events
14
Pushes
6
Pull requests
4
Issues
0
Stars
0
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-05-06 to 2024-05-06. Pushes: 6 total, peak 6 in a day. Pull requests: 4 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 |
|---|---|---|---|---|
| dependabot[bot] | 5 | 3 | 2 | 0 |
| rishusiva | 5 | 3 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#10rishusiva2024-05-06 04:32
- Pull request#10dependabot[bot]2024-05-06 04:31
- Pull request#9rishusiva2024-05-06 04:18
- Pull request#9dependabot[bot]2024-05-06 04:17
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.