Fraud-Detection-SQL-Supervised AmirhosseinHonardoust · COMPLETED
Detect and classify fraudulent transactions using SQL and Python. Generate behavioral features with SQLite, train a Logistic Regression model, and evaluate performance with AUC, precision, recall, and ROC analysis. A complete supervised fraud detection workflow.
github.com/AmirhosseinHonardoust/Fraud-Detection-SQL-Supervised · ★ 32 · Forks 1 · Size 3.4 MB
SUMMARY
Technologies 10
Scored 10
Observed 10
Practices 6
Evidence 12
Skips 0
COVERAGE
Analyzed 21 files · 18 commits · 0 API calls
TECHNOLOGIES & DEPTH
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
3 files · PRODUCTION
Python LANGUAGE Depth 70
7 files · PRODUCTION
SQL LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 37
1 files · TEST
pandas LIBRARY Depth 78
6 files · PRODUCTION, TEST
pytest TESTING Depth 41
2 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-10-21
Last commit 2026-09-06
Active months 2
Commits 18