Part 2 | MLOps On GitHub | Deploy and Automate ML Workflow |Using GitHub Actions and CML for CI & CD

Comprehensive tutorial on using GitHub Actions and Continuous Machine Learning (CML) to automate machine learning workflows! In this video, we’ll walk through the complete process of setting up a CI/CD pipeline for a machine learning project. By the end, you’ll be able to create and deploy automated workflows, monitor model performance, and collaborate seamlessly with your team! ⭐️ Contents ⭐️ 0:00 Detail discussion of Confusion matrix from Part 1 03:50 Git LFS Setup 08:07 Workflow File Creation -YAML Workflow Steps 15:28 Build Job 17:03 Model Metrics and Visualizations with CML 17:54 ROC Curve integration in feature branch 25:49 Creating Automated Reports in Pull Requests 30:06 VSCode GithubAction plugin and Conclusion 🔗 Links & Resources - Part 1 - https://youtu.be/DQIX7p5xx7c?si=xstWqmuqv20gyl2B - Article - https://medium.com/@abonia/automate-ml-and-llm-workflow-with-github-actions-cml-1673c9544c3c - Code & Project Files: https://github.com/Abonia1/Github-Action-for-ML - GitHub Actions Documentation: https://docs.github.com/actions - CML Documentation: https://cml.dev/doc - Github Token to authenticate GitHub action: https://docs.github.com/en/actions/security-for-github-actions/security-guides/automatic-token-authentication#permissions-for-the-github_token ___________________________________________________________________________ 🔔 Get our Newsletter and Featured Articles: https://abonia1.github.io/newsletter/ 🔗 Linkedin: https://www.linkedin.com/in/aboniasojasingarayar/ 🔗 Find me on Github: https://github.com/Abonia1 🔗 Medium Articles: https://medium.com/@abonia #GitHubActions, #CML, #MachineLearning, #MLOps, #DataScience, #CICD, #Automation, #MLPipeline, #AI, #Scikitpipeline, #MLModel #MachineLearning, #GitHubActions, #CML, #MLAutomation, #ChurnPrediction