The real estate market is a market where the sales and purchase between sellers and buyers refer to the exchange of real estate of any kind, such as housing, land, commercial premises, and so on. Real estate prices depend on a series of factors that make the asset more palatable for potential buyers.
These factors include the socioeconomic conditions, environmental conditions, and educational facilities of the area in which the property is located. Analyzing how these factors affect the cost of real estate can be a valuable tool for technicians in the sector in order to predict the market trends, depending on the changes that are occurring.
To do this, we will run a neural network regression for the Boston dataset; the median values of owner-occupied homes are predicted for the test data. The dataset describes 13 numerical properties...
