GeekFrankk/Google-Stock-Price-Prediction-Using-Random-Forest-Model
View on GitHub ↗Related repositories →This project predicts Google (GoG) stock’s closing price using machine learning. The dataset (2004-2024) was preprocessed with features like moving averages and returns. A Random Forest Regressor was used, achieving a MAE of 0.127. The model was saved and deployed via Flask API.
active 2025-02-09 → 2025-02-09 (UTC)
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Line chart, 1 days from 2025-02-09 to 2025-02-09. Pushes: 1 total, peak 1 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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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| GeekFrankk | 1 | 1 | 0 | 0 |
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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.