ml-algorithms-from-scratch-practice HeyIamMarasiniAmrit · COMPLETED
Practical implementations of Linear Regression (Boston Housing), Gaussian Naive Bayes & KNN (Iris) with proper train-test split, scaling, evaluation and common pitfalls fixed.
github.com/HeyIamMarasiniAmrit/ml-algorithms-from-scratch-practice · ★ 1 · Forks 0 · Size 69 KB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 5
Skips 0
COVERAGE
Analyzed 10 files · 9 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
XML LANGUAGE Depth 70
6 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 2026-09-03
Last commit 2026-09-09
Active months 1
Commits 9