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A MLOPS CI-CD imlementaion of a Linear Regression Machine Learning Model that predicts house pricing in Boston Massachusetts based on various features.

The Kaggle Dataset used contains information collected by the U.S Census Service concerning housing in the area of Boston.

The model is:

Configured with a simple UI experience to predict house price based on user input

Configured with an API endpoint to test & predict house prices

Packaged by pickle

Dockerized

Implemented within a CICD pipeline using GitHub Actions

Deployed on Heroku

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