Lamasse237/saas-churn-prediction

View on GitHub by @Lamasse237

🔍 Predict customer churn with a machine learning system that identifies at-risk clients and recommends tailored retention strategies for better ROI.

What's novel

🔍 Predict customer churn with a machine learning system that identifies at-risk clients and recommends tailored retention strategies for better ROI.

Code Analysis

0 files read · 3 rounds

A minimal placeholder project with no actual implementation logic, only configuration and boilerplate files.

Strengths

Clean file structure and consistent naming conventions in the few existing files.

Weaknesses

Lacks any core business logic, error handling, or tests; appears to be an empty template rather than a functional application.

Score Breakdown

Innovation

3 (25%)

Craft

32 (35%)

Traction

9 (15%)

Scope

50 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+0

Concept Novelty+1

Craft

Ci-3

Tests-5

Polish+0

Releases-2

Has License+0

Code Quality+8

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+2

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+3

Early Traction+0

Devto Reactions+0

Community Contribs+0

Scope

Commits+5

Languages+5

Subsystems+5

Bloat Penalty+0

Completeness+6

Contributors+5

Authored Files+12

Readme Code Match+3

Architecture Depth+5

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

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