This repository contains a comprehensive data science project aimed at analyzing weather data to predict the likelihood of rain. The project leverages various data analysis and machine learning techniques to explore and model the relationships between different weather parameters and precipitation outcomes.
active 2024-07-09 → 2024-07-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 8 days from 2024-07-09 to 2024-07-16. Pushes: 62 total, peak 19 in a day. Pull requests: 8 total, peak 4 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 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 |
|---|---|---|---|---|
| EngJuanSER | 39 | 39 | 0 | 0 |
| Giovanny692 | 19 | 11 | 7 | 1 |
| NicoG2023 | 13 | 12 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#4Giovanny6922024-07-14 02:00
- Pull request#4Giovanny6922024-07-14 02:00
- Pull request#3NicoG20232024-07-13 22:12
- Issue comment#3Giovanny6922024-07-13 15:11Merge
- Pull request#3Giovanny6922024-07-13 15:11
- Pull request#2Giovanny6922024-07-13 01:13
- Pull request#2Giovanny6922024-07-13 01:13
- Pull request#1Giovanny6922024-07-12 19:26
- Pull request#1Giovanny6922024-07-12 19:26
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.