Severynson/Machine-Learning-Final-Project-COMP-193-B-Fall-2024
View on GitHub ↗Related repositories →In this project, I will extract data from runners' profiles on the Strava app to cluster them into groups: ultramarathon, marathon, half-marathon, and sprinters, based on training style and volume. I will then analyze their interests from linked social media profiles to provide the most tailored advertisements for running equipment.
active 2024-11-26 → 2024-12-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 10 days from 2024-11-26 to 2024-12-05. Pushes: 25 total, peak 10 in a day. Pull requests: 9 total, peak 6 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 |
|---|---|---|---|---|
| Severynson | 34 | 25 | 9 | 0 |
Recent activity
Latest issues, pull requests and releases
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.