This project aims to develop a machine learning model for the detection of diabetes using a dataset that includes various health-related features. The dataset is loaded from a CSV file, and several preprocessing steps are performed to enhance the quality of the data before training a RandomForestClassifier.
active 2023-11-21 → 2023-11-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-11-21 to 2023-11-21. Pushes: 4 total, peak 4 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 |
|---|---|---|---|---|
| arun7371 | 4 | 4 | 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.