In this project, I used different types of machine learning models, including gradient boosting, catboost, and lightgbm to predict used car prices from a dataset. I took the features from the dataset and the price column as the target to make those predictions using the Root Mean Squared Error metric to evaluate those machine learning models
active 2024-07-28 → 2024-09-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 39 days from 2024-07-28 to 2024-09-04. Pushes: 3 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
- Issues
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- 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 |
|---|---|---|---|---|
| montesalan26 | 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.