Objective: To develop and evaluate predictive models for house sales prices in King County, USA, using the "KC_House_Sales" dataset. Scope: Employ various statistical and machine learning techniques to analyze housing data, build predictive models, and assess their performance.
active 2023-11-12 → 2024-01-10 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 60 days from 2023-11-12 to 2024-01-10. Pushes: 128 total, peak 58 in a day. Pull requests: 11 total, peak 4 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 4 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 |
|---|---|---|---|---|
| lscarval | 54 | 51 | 3 | 0 |
| Seymurhh | 54 | 52 | 2 | 0 |
| PudimKaleo | 22 | 16 | 6 | 0 |
| mk1107 | 4 | 4 | 0 | 0 |
| bethunbhowmik | 4 | 4 | 0 | 0 |
| ibrahimjh | 1 | 1 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.