Cardiovascular-Heart-Disease-Risk-Forecasting CodewithShahriar · COMPLETED
This project develops an intelligent system to predict cardiovascular heart disease using clinical data such as age, gender, chest pain, blood pressure, cholesterol, and heart rate. Machine learning models, including Decision Tree, Naive Bayes, and Random Forest, support early screening and clinical decision-making.
github.com/CodewithShahriar/Cardiovascular-Heart-Disease-Risk-Forecasting · ★ 0 · Forks 0 · Size 242 KB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 6 files · 5 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 61
1 files · CONFIGURATION
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 5