🏡 Data Science project by students at Imam Abdulrahman University, comparing Random Forest and XGBoost models for predicting house prices using the Kaggle dataset. Explore our analysis and insights on model performance in the realm of advanced regression techniques.
active 2024-05-15 → 2024-05-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-05-15 to 2024-05-15. Pushes: 2 total, peak 2 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.
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- Pull requests
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| MajidRaimi | 2 | 2 | 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.