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Deploying your Machine Learning Model

This repository contains code and instructions on how to deploy your machine learning model using a production-ready API.

I am using FastAPI + Uvicorn to serve the model which creates automatic documentation using OpenAPI (Swagger) and ReDoc.

The Dockerfile is included if you would like to containerize the application and deploy it on the cloud.

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Guide on creating an API for serving your ML model

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  • Jupyter Notebook 62.9%
  • Python 29.7%
  • Dockerfile 7.4%