Applied-Data-Science-Capstone JordiCorbilla · COMPLETED
The Applied Data Science Capstone is a comprehensive project showcasing advanced data science methodologies and their practical applications. This repository contains end-to-end solutions for real-world problems, leveraging techniques such as data preprocessing, exploratory data analysis, machine learning modeling, and evaluation
github.com/JordiCorbilla/Applied-Data-Science-Capstone · ★ 1 · Forks 0 · Size 478 KB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 11 files · 5 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 61
1 files · CONFIGURATION
pandas LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-12-24
Last commit 2025-02-09
Active months 2
Commits 5