customer-behavior-analytics AbdulRehman393 · COMPLETED
Customer Behavior Analytics is an end-to-end machine learning project that predicts telecom customer churn and segments customers by behavior using Decision Tree and KMeans models, enabling proactive retention strategies and data-driven personalized marketing.
github.com/AbdulRehman393/customer-behavior-analytics · ★ 2 · Forks 0 · Size 358 KB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 12 files · 4 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
pandas LIBRARY Depth 62
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-07-22
Last commit 2026-07-22
Active months 1
Commits 4