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Real Estate ML Model
Machine LearningFlaskPostgreSQL
This capstone project involves creating a Machine Learning Model that accurately assesses the sellability for any given real estate property in Oregon.
It utilizes Railway to host cloud services, including a backend PostgreSQL database and a Flask framework website that serves data and model outputs. The end goal is to create a useful service for newer Real Estate Agents, as well as home buyers.