A university assignment app that exposes, through a JSON HTTP API, a machine-learning model that predicts housing prices in the Boston area through the linear regression algorithm. The model is trained using the Boston House Prices dataset available through Kaggle,
A live instance of the app, with Swagger docs, is deployed at fly.io.
To build and use python-project on your local machine, ensure you have a functioning Python + pip installation, then use the following commands:
$ pip install -r requirements.txt
$ uvicorn app.main