diabetes_cardio miguelestradam3 · PARTIAL
This project demonstrates how to solve real-world binary classification problems using Scikit-learn, XGBoost, and SMOTE.
github.com/miguelestradam3/diabetes_cardio · ★ 2 · Forks 0 · Size 2.7 MB
SUMMARY
Technologies 4
Scored 2
Observed 2
Practices 6
Evidence 5
Skips 2
COVERAGE
Analyzed 7 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth —
0 files · config only
pandas LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-06-22
Last commit 2026-07-09
Active months 4
Commits 6