analysis_numpy miguelestradam3 · PARTIAL
This project demonstrates how to apply Principal Component Analysis (PCA) to reduce the dimensionality of a dataset while preserving as much information as possible
github.com/miguelestradam3/analysis_numpy · ★ 3 · Forks 0 · Size 112 KB
SUMMARY
Technologies 5
Scored 3
Observed 3
Practices 6
Evidence 6
Skips 2
COVERAGE
Analyzed 4 files · 5 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth —
0 files · config only
RabbitMQ MESSAGE_BROKER Depth 61
1 files · CONFIGURATION
pandas LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-06-27
Last commit 2026-07-12
Active months 2
Commits 5