Assessment of Real House Price Using Machine Learning

The broad and consistent real estate characteristics are frequently listed individually from the enquiring price and the overall description. Thus, these characteristics or the features are individually listed in a prepared organized way, such that they can be effortlessly compared across the entire range of prospective houses. Though, every house has its own distinctive features, such as a particular view, balcony 1 or 2, parking area, kids park, or type of sink, the sellers can provide a précis of all the important description of the house. Thus, the given real estate features can be measured by the probable buyers, but it seems to be nearly impossible to make available an automated evaluation on all features or variables due to the huge variety. This is as well true in the erstwhile direction: house sellers have to formulate an estimation of the worth based on its characteristics or features in similarity to the existing market price of related houses. Using the machine learning or the hypothesis function, an automated system is to be creating to predict the house price.