In this project, we'll predict future house prices. We'll use data from the Federal Reserve, along with house price data from Zillow. We'll merge and combine this data, then use it to train a random forest model. The model will predict if house prices will increase or decrease in the future. We'll measure error using backtesting.
active 2024-05-20 → 2024-09-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 125 days from 2024-05-20 to 2024-09-21. Pushes: 5 total, peak 5 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: 3 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 |
|---|---|---|---|---|
| Creating-Content | 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 — 3 stars here means stars gained during the window, not the repo's star count.