Predicting the likelihood of diabetes, heart disease, and hypertension using machine learning techniques. The project leverages the RandomForestClassifier from scikit-learn and includes data preprocessing, model training, prediction functions, and visualizations.
active 2024-07-25 → 2024-07-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2024-07-25 to 2024-07-26. Pushes: 2 total, peak 1 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 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 |
|---|---|---|---|---|
| Jyoit | 3 | 2 | 1 | 0 |
| Vikash4110 | 2 | 0 | 1 | 1 |
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.