Amazing-Feature-Engineering ashishpatel26 · COMPLETED
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
github.com/ashishpatel26/Amazing-Feature-Engineering · ★ 805 · Forks 274 · Size 1.3 MB
SUMMARY
Technologies 7
Scored 7
Observed 7
Practices 6
Evidence 7
Skips 0
COVERAGE
Analyzed 50 files · 15 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
11 files · PRODUCTION
NumPy LIBRARY Depth 85
7 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 61
1 files · CONFIGURATION
TypeScript LANGUAGE Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 81
8 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2018-12-02
Last commit 2025-06-29
Active months 6
Commits 15