Student-Mental-Health-Analysis chenweida6220 · COMPLETED
This repository contains an end-to-end machine learning project analyzing synthetic student mental health data. It covers data curation, exploratory analysis, feature engineering, predictive modeling, and visualization to uncover patterns in mental health indicators and build a depression-risk classifier.
github.com/chenweida6220/Student-Mental-Health-Analysis · ★ 3 · Forks 0 · Size 1.8 MB
SUMMARY
Technologies 1
Scored 1
Observed 1
Practices 6
Evidence 1
Skips 0
COVERAGE
Analyzed 6 files · 4 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-12-02
Last commit 2026-01-02
Active months 2
Commits 4