The Challenge: The real estate market is highly volatile, making it difficult for buyers and investors to determine the fair market value of a property based on complex features like location, square footage, and condition.
The Solution: Developed an end-to-end Machine Learning solution that predicts house prices with high precision. Using the King County dataset, I built a predictive model and deployed it as an interactive web application