Tired of running your ML pipelines manually? In this video, I’ll show you how to automate your machine learning workflow end-to-end using GitHub Actions. Whether it’s training models, running tests, deploying models, or retraining with new data — everything happens automatically whenever you push code or update your repository.
What You’ll Learn:
How GitHub Actions work for automation
Setting up a CI/CD pipeline for ML projects
Automating data preprocessing and model training
Integrating testing and deployment steps
Best practices for secure and efficient workflows
Why This Matters:
Automating your ML workflow means fewer manual steps, faster iteration, and reliable deployments — all while keeping your codebase clean and reproducible.
📌 Resources & Code: https://github.com/Mayurji/ml-github-actions
#MachineLearning #MLOps #GitHubActions #Automation #AIML
