This project enables figuring out the key features that determine the sales price of houses. The resulting Web App helps real estate developers, individual buyers, and banks seek the best area in King County to develop new apartment buildings or make purchases.
Provided valuable insights into the predictive performance of different modeling methodologies for housing price prediction in Boston. It suggests that a combination of linear and non-linear models can be effective and lays the foundation for further research and practical applications in this domain.
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