Rayyan9477/MLOps-Pipeline-for-USD-Forecasting
A production-grade MLOps pipeline for real-time USD volatility forecasting using EUR/USD forex data. This project demonstrates end-to-end ML lifecycle management with automated data ingestion, model training, deployment, and monitoring.
What's novel
A production-grade MLOps pipeline for real-time USD volatility forecasting using EUR/USD forex data. This project demonstrates end-to-end ML lifecycle management with automated data ingestion, model training, deployment, and monitoring.
Code Analysis
6 files read · 2 roundsA standard web application with basic CRUD operations and some utility functions
Strengths
Clean code structure with consistent naming conventions and good separation of concerns between routes and controllers.
Weaknesses
Lacks comprehensive error handling for edge cases, minimal test coverage, and limited innovation in solving common problems.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
29
Contributors
2
Files
87
Active weeks
5
Repository
Language
Python
Stars
7
Forks
0
License
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