ElonaZharri/Boston-Housing-Price-Regression

This project trains a Random Forest Machine Learning model that predicts the value of a house given some of its attributes. A Flask Application was built and the model was deployed to serve on an end customer to enter the specified attributes and obtain a prediction. This application was also deployed on GCP.

Jupyter Notebook