End-to-End-Kidney-Disease-Classification-Using-MLflow-DVC

Tasks

• Project template creation
• Project setup and requirements installation
• Logging, Utils and exception module
• Project Workflows
• All components notebook experiment
• All components modular code implementation
• training pipeline
• MLflow (MLOps tool for experiments tracking and model registration)
• DVC (MLOps tool for pipeline tracking and implementation)
• Prediction pipeline and user app creation
• Docker
• Final CI/CD Deployment on AWS

Workflows

• Update config.yaml
• Update secrets.yaml [Optional]
• Update params.yaml
• Update the entity
• Update the configuration manager in src config
• Update the components
• Update the pipeline
• Update the main.py
• Upddate the dvc.yaml
• Update app.py

How to install

Clone the repository

git clone https://github.com/MartinKalema/Kidney-Disease-Classification-MLflow-DVC.git

Create a conda environment after opening the repository and activate it

conda create -n kidney python=3.8 -y

conda activate kidney

Install the requirements

pip install -r requirements.txt