An End to End Machine learning Project that aim to predict the weather based on some data required
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.
Testing ZenML
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.
An AI analytics assistant that turns natural language into optimized MongoDB aggregations and clean, tabular insights. Built with CrewAI multi-agent orchestration, LangChain tools, Pinecone embeddings for item normalization, and a polished Streamlit UX. Designed as a production-bound prototype for Order Appetit.
📚 Learn ZenML step-by-step with 6 hands-on examples covering pipelines, caching, metadata logging, and artifact tagging for MLOps.
Basic MLOps project using Evidently tests, ZenML pipelines and MLflow workflow for model versioning
An end-to-end machine learning project for predicting house prices using the Ames Housing dataset. Built with clean software engineering principles, featuring a modular architecture powered by Strategy, Factory, and Template Method design patterns, and orchestrated end to end with ZenML and MLflow.
Customer churn prediction MLOps pipeline with automated training, experiment tracking, model registry, quality-gated deployments, and a live Streamlit web app
End-to-end ML pipeline for predicting used car prices.
An end-to-end, production-grade MLOps platform on Kubernetes for breast cancer diagnostics. Built with ZenML, FastAPI, and Docker. Features automated training pipelines, model versioning, and zero-downtime K8s deployments.
Deploying a machine learning model by using zenml and ml flow
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