This repo contains details about end to end implementation of the GCP GCS to BQ pipeline using CI/CD leveraging Airflow DEV and PROD Environments, Thanks
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Updated
Nov 22, 2025 - Python
This repo contains details about end to end implementation of the GCP GCS to BQ pipeline using CI/CD leveraging Airflow DEV and PROD Environments, Thanks
Dans ce projet, nous allons concevoir un pipeline d’apprentissage automatique avec PySpark qui permet d'analyser et modéliser des facteurs cardiovasculaires afin d’anticiper les risques et d’aider au diagnostic précoce.
A production-ready Python CI/CD pipeline template using GitHub Actions — automated linting, testing, security scanning, and deployment.
Governed text-to-SQL analytics copilot. Claude-powered LangGraph agent scoped to certified dbt metrics. LLM cannot invent numbers that don't exist. 100% eval accuracy.
End to end machine learning system for industrial predictive maintenance. Built with Python, XGBoost, FastAPI, Docker, and AWS Lambda, featuring MLflow tracking, SHAP based explainability, automated drift detection, and a serverless CI/CD pipeline with a live Streamlit interface.
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