GitHub / rahulsamant37 / End-to-End-Flask-App
An end-to-end data science workflow that includes a Flask-based machine learning application, an automated ETL pipeline with Airflow for data extraction and transformation, and a comprehensive data analysis module using Pandas for statistical analysis, manipulation, and visualization.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rahulsamant37%2FEnd-to-End-Flask-App
PURL: pkg:github/rahulsamant37/End-to-End-Flask-App
Stars: 0
Forks: 0
Open issues: 0
License: gpl-3.0
Language: Jupyter Notebook
Size: 928 KB
Dependencies parsed at: Pending
Created at: 8 months ago
Updated at: 4 months ago
Pushed at: 7 months ago
Last synced at: 4 months ago
Topics: airflow-dags, dagshub, dockerfile, flask-application, github-actions, mlflow, orchestration, postgresql, testing, yaml-configuration