Streamlit application hosted at: https://bartosapp.herokuapp.com/
The application uses a linear regression model to predict a user's house price. The input variables are address (latitude, longitude), bedrooms, and ocean proximity. app.py contains all application code and functions.
The map is created utilizing a pydeck column layer. The height of each datapoint/column represents the house price. Higher columns meands higher housing prices.