ml NikitaBoyarkin · COMPLETED
ML fundamentals: scikit-learn pipeline — preprocessing, regression, classification, clustering
github.com/NikitaBoyarkin/ml · ★ 2 · Forks 0 · Size 83 KB
SUMMARY
Technologies 10
Scored 10
Observed 10
Practices 6
Evidence 12
Skips 0
COVERAGE
Analyzed 14 files · 1 commits · 0 API calls
TECHNOLOGIES & DEPTH
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
7 files · PRODUCTION
SQL LANGUAGE Depth 70
1 files · PRODUCTION
uv BUILD_TOOL Depth 80
1 files · CONFIGURATION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 70
3 files · PRODUCTION, TEST
pandas LIBRARY Depth 74
4 files · PRODUCTION, TEST
pytest TESTING Depth 32
1 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-08-22
Last commit 2026-08-22
Active months 1
Commits 1