Deploying Machine Learning Models with mlflow and Amazon SageMaker

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In this video, I first train an XGBoost model on my local machine (I use PyCharm), and visualize results in the mlflow UI. Then, I deploy the model locally, and predict test data. Next, I create a Docker container, push it to Amazon ECR, and use it to deploy my model on Amazon SageMaker. • ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future videos ⭐️⭐️⭐️ • ⭐️⭐️⭐️ Want to buy me a coffee? I can always use more :) https://www.buymeacoffee.com/julsimon ⭐️⭐️⭐️ • Code: https://gitlab.com/juliensimon/sagema... • Documentation: https://www.mlflow.org/ • For more content, follow me on : • Medium:   / julsimon   • Twitter:   / juliensimon  

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