Exploration of Boosting Algorithms in Machine Learning: This repository hosts a seminar paper examining key boosting algorithms like AdaBoost, Gradient Boosting, and XGBoost. It includes theoretical insights, practical applications, and comparative analyses, providing a comprehensive understanding of boosting techniques in ML.
active 2023-11-16 → 2023-12-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 17 days from 2023-11-16 to 2023-12-02. Pushes: 51 total, peak 10 in a day. Pull requests: 3 total, peak 3 in a day. Issues: 0 total, peak 0 in a day. Comments: 33 total, peak 33 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 |
|---|---|---|---|---|
| Phlm | 68 | 2 | 0 | 33 |
| CodeLtDave | 52 | 49 | 3 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#2CodeLtDave2023-11-26 19:07
- Pull request#1CodeLtDave2023-11-26 19:06
- Pull request#1CodeLtDave2023-11-26 18:50
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.