Market-Basket-Analysis-with-the-Apriori-Algorithm Muzammil592 · COMPLETED
Market basket analysis on 1M+ UK retail transactions using the Apriori algorithm, built from scratch in Python and validated against mlxtend. Cleans messy invoice data, mines frequent itemsets and association rules (support, confidence, lift), benchmarks vs FP-Growth, and ships as a Streamlit app.
github.com/Muzammil592/Market-Basket-Analysis-with-the-Apriori-Algorithm · ★ 1 · Forks 0 · Size 20 KB
SUMMARY
Technologies 7
Scored 7
Observed 7
Practices 6
Evidence 8
Skips 0
COVERAGE
Analyzed 17 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
12 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 66
3 files · PRODUCTION
TypeScript LANGUAGE Depth 53
1 files · PRODUCTION
pandas LIBRARY Depth 78
12 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-09-29
Last commit 2026-10-01
Active months 2
Commits 3