This project features a web application that predicts house prices using a linear regression model. Users can enter details such as location, square foot, number of bathrooms, and bedrooms via a simple HTML form. The predictions are generated by a Flask backend that utilizes the trained model to provide accurate price estimates.
active 2024-08-07 → 2024-09-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 32 days from 2024-08-07 to 2024-09-07. Pushes: 28 total, peak 16 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: 1 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 |
|---|---|---|---|---|
| 2003HARSH | 28 | 28 | 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 — 1 stars here means stars gained during the window, not the repo's star count.