Data-Mining-Project gokaycetinn · COMPLETED
A machine learning project comparing classification algorithms for grain yield prediction using Python, Scikit-learn, and XGBoost.
github.com/gokaycetinn/Data-Mining-Project · ★ 8 · Forks 0 · Size 1.5 MB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 5 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
pandas LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-03-20
Last commit 2026-06-14
Active months 3
Commits 6