Data-Science-Learning ggauravky · COMPLETED
A structured learning repository for Data Science using Python. Covers Data Cleaning, EDA, and visualization with Pandas, NumPy, Matplotlib, and Seaborn and more
github.com/ggauravky/Data-Science-Learning · ★ 5 · Forks 1 · Size 38.0 MB
SUMMARY
Technologies 13
Scored 13
Observed 13
Practices 6
Evidence 13
Skips 0
COVERAGE
Analyzed 261 files · 128 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
JSON LANGUAGE Depth 70
22 files · PRODUCTION
Python LANGUAGE Depth 70
20 files · PRODUCTION
Flask FRAMEWORK Depth 74
6 files · PRODUCTION
MongoDB DATABASE Depth 72
2 files · CONFIGURATION
NumPy LIBRARY Depth 85
9 files · PRODUCTION
PostgreSQL DATABASE Depth 69
2 files · CONFIGURATION
Prettier QUALITY Depth 65
1 files · CONFIGURATION
RabbitMQ MESSAGE_BROKER Depth 84
8 files · CONFIGURATION
Redis CACHE Depth 69
2 files · CONFIGURATION
Requests LIBRARY Depth 62
2 files · PRODUCTION
TypeScript LANGUAGE Depth 46
1 files · PRODUCTION
pandas LIBRARY Depth 81
8 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-09-14
Last commit 2026-08-04
Active months 11
Commits 128