Testing ZenML
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Updated
Mar 8, 2025 - Python
Testing ZenML
End-to-end advanced MLOps pipeline for Telecom Churn Detection using ZenML, MLflow, and GitHub Actions – with automated data ingestion, preprocessing, training, model evaluation, drift detection, retraining, CI/CD, Dockerized deployment on AWS EC2, and DynamoDB integration.
A ZenML-based RAG system for document Q&A with multi-format support. My exploration project to understand how RAG systems work under the hood.
Basic MLOps project using Evidently tests, ZenML pipelines and MLflow workflow for model versioning
End-to-end ML pipeline for predicting used car prices.
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