Airfare prices can be incredibly dynamic, influenced by many factors. Predicting these prices is not only useful for travelers but also for airlines, travel agencies, and researchers. This repository provides a comprehensive solution to this problem, leveraging machine learning techniques and the Kaggle flight price dataset.
active 2023-10-18 → 2025-10-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 718 days from 2023-10-18 to 2025-10-04. Pushes: 46 total, peak 16 in a day. Pull requests: 34 total, peak 8 in a day. Issues: 26 total, peak 10 in a day. Comments: 19 total, peak 6 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Pyame | 89 | 27 | 25 | 6 |
| wvffle | 17 | 5 | 1 | 2 |
| Monikaa1909 | 12 | 7 | 3 | 2 |
| SiwyKot41 | 10 | 7 | 2 | 1 |
| review-notebook-app[bot] | 8 | 0 | 0 | 8 |
| patrycjarecko | 3 | 0 | 3 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#26wvffle2025-10-04 13:15Solve conflict issue
- Issue#31wvffle2023-12-18 19:02improve models effectivness
- Pull request#32Pyame2023-12-18 11:04
- Issue comment#32review-notebook-app[bot]2023-12-18 11:04effectivness improvement with tets
- Pull request#32Pyame2023-12-18 11:04
- Issue#31Pyame2023-12-18 11:02improve models effectivness
- Pull request#30Pyame2023-11-27 10:03
- Issue comment#30review-notebook-app[bot]2023-11-27 10:02update
- Pull request#30Pyame2023-11-27 10:02
- Pull request#29Pyame2023-11-27 09:56
- Issue comment#29review-notebook-app[bot]2023-11-27 09:51models and test implementation
- Pull request#29Pyame2023-11-27 09:50
- Issue#28Pyame2023-11-27 08:19add tests to model
- Issue#27Pyame2023-11-27 08:19add ML model
- Issue#14Pyame2023-11-27 08:16Develop new features based on existing data
- Pull request#25Pyame2023-11-27 08:16
- Issue#11Pyame2023-11-27 07:50Transform or remove outlier data
- Pull request#23Pyame2023-11-27 07:50
- Issue comment#23wvffle2023-11-13 18:14feat: outlier data
- Issue#9wvffle2023-11-13 17:52Normalize or standardize numeric variables
- Pull request#21wvffle2023-11-13 17:52
- Issue comment#26wvffle2023-11-13 07:37Solve conflict issue
- Issue#26Pyame2023-11-12 11:37Solve conflict issue
- Issue comment#23Pyame2023-11-12 11:34feat: outlier data
- Issue comment#23review-notebook-app[bot]2023-11-12 11:33feat: outlier data
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.