Learn how to automate the deployment of Jupyter Notebooks using GitHub Actions, a key aspect of MLOps for productionizing data science projects. Explore a step-by-step tutorial demonstrating the process of setting up automated workflows to convert, version control, and deploy Jupyter Notebooks efficiently. Gain practical insights into streamlining your machine learning workflow and enhancing collaboration within data science teams. Access the accompanying code repository for hands-on implementation and further experimentation.