This project predicts household ownership status based on factors like income, age, and utility costs. Machine learning models (SVM) are applied to analyze these factors, and the RBF model provides reliable predictions, which can be used to make policy changes to promote homeownership.
active 2024-10-01 → 2024-10-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-10-01 to 2024-10-01. Pushes: 3 total, peak 3 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 |
|---|---|---|---|---|
| Hrish52 | 3 | 3 | 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.