Early-Diabetes-Risk-Prediction CodewithShahriar · COMPLETED
This project develops a machine learning model to predict diabetes using clinical data such as glucose level, blood pressure, insulin, BMI, and age. Classification algorithms including Logistic Regression, SVM, and Random Forest identify high-risk patients, helping healthcare providers make informed decisions and supporting early prevention.
github.com/CodewithShahriar/Early-Diabetes-Risk-Prediction · ★ 0 · Forks 0 · Size 434 KB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 8 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
NumPy LIBRARY Depth 45
1 files · PRODUCTION
pandas LIBRARY Depth 45
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-07-21
Last commit 2026-07-21
Active months 1
Commits 6