Repo where i try to implement ML Models from scratch with Python
active 2024-06-16 → 2024-06-17 (UTC)
Complete coverage26,533 / 26,533 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-24 (UTC)
Events
21
Pushes
0
Pull requests
6
Issues
1
Stars
2
Forks
1
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2024-06-16 to 2024-06-17. Pushes: 0 total, peak 0 in a day. Pull requests: 6 total, peak 6 in a day. Issues: 1 total, peak 1 in a day. Comments: 9 total, peak 9 in a day. Stars: 2 total, peak 1 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 |
|---|---|---|---|---|
| ABirHAsan123-beep | 18 | 0 | 6 | 9 |
Recent activity
Latest issues, pull requests and releases
- Pull request#6ABirHAsan123-beep2024-06-16 22:59
- Issue comment#5ABirHAsan123-beep2024-06-16 22:49LinearRegressionModel.ipynb
- Issue comment#5ABirHAsan123-beep2024-06-16 22:48LinearRegressionModel.ipynb
- Pull request#5ABirHAsan123-beep2024-06-16 22:47
- Issue#4ABirHAsan123-beep2024-06-16 22:43'README.md-REPOSITORY'...
- Issue comment#3ABirHAsan123-beep2024-06-16 21:38.gitignore
- Issue comment#3ABirHAsan123-beep2024-06-16 21:37.gitignore
- Pull request#3ABirHAsan123-beep2024-06-16 21:36
- Issue comment#2ABirHAsan123-beep2024-06-16 21:32Update LinearRegressionModel.ipynb
- Issue comment#2ABirHAsan123-beep2024-06-16 21:31Update LinearRegressionModel.ipynb
- Pull request#2ABirHAsan123-beep2024-06-16 21:30
- Pull request#1ABirHAsan123-beep2024-06-16 01:35
- Issue comment#1ABirHAsan123-beep2024-06-16 01:35Update LogisticRegressionModel.ipynb
- Issue comment#1ABirHAsan123-beep2024-06-16 01:33Update LogisticRegressionModel.ipynb
- Issue comment#1ABirHAsan123-beep2024-06-16 01:28Update LogisticRegressionModel.ipynb
- Pull request#1ABirHAsan123-beep2024-06-16 01:28
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.