As a part of Cornell University's Break Thru Tech program, I was allowed to explored an "The World Happiness" dataset using libraries such as Sci-Kit learn, Numpy, Pandas, and TensorFlow to train a model that best fit a problem I chose. After testing different models, I ended up with a multiple linear regression model.
active 2024-08-01 → 2025-02-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 200 days from 2024-08-01 to 2025-02-16. Pushes: 11 total, peak 7 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 |
|---|---|---|---|---|
| mpate154 | 11 | 11 | 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.