Machine_Learning_Project_2 LaithGhnemat12302 · COMPLETED
EDA, Density Plot, Scatter Plot, K-Nearest-Neighbors (KNN) models (with values: 3, 5 and 7), Decision Tree(C4.5), Confusion Matrix, Naive Bayes (NB), Artificial Neural Networks (ANN).
github.com/LaithGhnemat12302/Machine_Learning_Project_2 · ★ 2 · Forks 0 · Size 123 KB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 5
Skips 0
COVERAGE
Analyzed 13 files · 1 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
1 files · PRODUCTION
XML LANGUAGE Depth 70
4 files · PRODUCTION
Python LANGUAGE Depth 70
3 files · PRODUCTION
NumPy LIBRARY Depth 58
2 files · PRODUCTION
pandas LIBRARY Depth 58
2 files · PRODUCTION
PRACTICES
documentation · absentautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-01-30
Last commit 2024-01-30
Active months 1
Commits 1