/End-to-End-Kidney-Disease-Diagnosis

Kidney Disease Classification with MLflow & DVC! This project builds a pipeline for classifying kidney disease using machine learning. It involves setting up the environment, tracking experiments with MLflow & pipelines with DVC, and creating a user application

End-to-End Kidney Disease Classification with MLflow & DVC

This project implements a machine learning pipeline for classifying kidney disease. It covers:

  • Project setup & environment configuration
  • Experiment tracking with MLflow
  • Pipeline tracking & version control with DVC
  • Modular code implementation for all components
  • Training pipeline development
  • User application creation
  • Containerization with Docker
  • CI/CD deployment on AWS

This project provides a comprehensive solution for building and deploying a kidney disease classification system.