Customer-Churn-Prediction rahuloraj · COMPLETED
This project provides an end-to-end machine learning pipeline for predicting customer churn. Using Python and the scikit-learn library, it implements a Random Forest Classifier to train a model on a synthetic dataset.
github.com/rahuloraj/Customer-Churn-Prediction · ★ 82 · Forks 0 · Size 6 KB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 5 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
pandas LIBRARY Depth 45
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-10-16
Last commit 2025-10-16
Active months 1
Commits 3