This program uses Python to scrape about 30 years of data from MLB.com. It then uses Scikit-Learn to predict the amount of wins a team will have at the end of the season based on how they performed in a category the user selects. It also shows an R2 score of the model created.
active 2025-01-19 → 2025-01-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-19 to 2025-01-19. 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 |
|---|---|---|---|---|
| Mattjsjr | 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.