This project involves building a predictive model for movie revenue prediction using machine learning. It leverages Random Forest and Linear Regression models, with data preprocessing, feature engineering, and model evaluation. Visualizations help in understanding insights, and the project is designed for real-world applications.
active 2025-01-17 → 2025-01-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-17 to 2025-01-17. 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.
- 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 |
|---|---|---|---|---|
| prathameshfuke | 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.