In the airline industry, maximizing profitability is a complex challenge influenced by multiple operational and financial factors. Given historical flight performance data, your task is to develop a machine learning model that accurately predicts profit (USD) for each flight based on features .
active 2025-03-02 → 2025-03-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-03-02 to 2025-03-02. Pushes: 52 total, peak 52 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 |
|---|---|---|---|---|
| CodeRulerNo1 | 52 | 52 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
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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.