Creating very first python project where I will utilize Python Machine Learning libraries to generate my own supervised ML application. It will take user input of a house's size and predict it's cost. This will obviously not be 100% accurate since there can be hundereds of variables to truly affect cost, but it is merely to learn and practice.
active 2024-02-25 → 2024-02-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 4 days from 2024-02-25 to 2024-02-28. Pushes: 8 total, peak 3 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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- Pull requests
- Issues
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- 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 |
|---|---|---|---|---|
| KimGarza | 8 | 8 | 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.