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ML Zoomcamp Week 5: Exporting and Containerising an ML Model for Deployment

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In Week 5 of ML Zoomcamp, the focus was on deploying a machine learning model by first exporting it from a Jupyter Notebook using Pickle, then wrapping it in a FastAPI server. The model was containerised with Docker to ensure consistent behaviour across different environments. While the course recommends AWS Elastic Beanstalk for deployment, the author opted out due to past negative experiences with the platform. Instead, they highlighted Oracle Cloud's permanently free server tier as a lesser-known alternative to AWS for hosting side projects. The author skipped cloud deployment for this week's assignment, citing prior experience with deploying FastAPI servers.

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ML Zoomcamp Week 5: Exporting and Containerising an ML Model for Deployment · ShortSingh