This repository demonstrates the implementation of traditional machine learning techniques, including XGBoost, Linear Regression, and Random Forest, using distributed frameworks such as Dask and Apache Spark
active 2024-11-16 → 2025-01-14 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 60 days from 2024-11-16 to 2025-01-14. Pushes: 73 total, peak 35 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 |
|---|---|---|---|---|
| mrunal-create | 38 | 38 | 0 | 0 |
| Umangg16 | 25 | 25 | 0 | 0 |
| htahel09 | 5 | 5 | 0 | 0 |
| Shush98 | 5 | 5 | 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.