mrdbourke/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
This project helps machine learning engineers and data scientists take their trained models from local development to a live, public-facing application. It guides you through deploying a machine learning model to Google Cloud's AI Platform and then connecting it to a web application (built with Streamlit) hosted on Google App Engine. The outcome is a functional web app that uses your cloud-hosted ML model for predictions.
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Use this if you have a trained machine learning model and want to make it accessible to users through a web application on Google Cloud.
Not ideal if you are looking for guidance on training a machine learning model from scratch or deploying to a different cloud provider.
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Jupyter Notebook
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MIT
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Last pushed
Nov 12, 2022
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