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Machine learning use case in real estate

Forecasting selling price for housing in real-time

House price prediction analysis (Saratoga, New York)

Saratoga County in New York is an attractive place to live, work, and visit. The locale offers cultural venues, excellent schools, post-secondary colleges, recreational programs along with parks and trails to make it a perfect place to live. Forecasting the ever-fluctuating selling price of housing and the related future demand for leasing or rental is a crucial task.

In this use case, we aim to predict the housing prices of Saratoga County, New York, by applying regression models in machine learning and other data science techniques to obtain optimal prediction values. Apart from determining the prevailing price of land, the system also aims to assess the ease of access to other public facilities like educational institutions, hospitals, recreational facilities, etc.

EVNet

Use case highlights:

  • How to leverage machine learning regression models for determining the prevailing price of land
  • The factors that help in predicting price fluctuations
  • A detailed model establishing high levels of accuracy

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