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2.2 Literature Review

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Statistical fashions have been a method to analyze and are expecting property expenses for a long term. In the work of Fik et al. (2003), a study to explain the housing costs version was carried out with the aid of studying the impact of vicinity capabilities at the property charges [11] (Piazzesi and Schneider; 2009). For those who foresee product costs in a different way, the association can be quite complicated. Price forecasts are number one within the import commercial enterprise quarter. But, forecasting from deliver call for can be complex due to the fact that there may be a consolidation energy alongside the way. A neural programming model wishes to predict inventory price. This gives an overlap between those shares and blessings.

Authors (Selim, 2009) [12] compared a few studies of artificial neural network deflection using 60% of residential price calculations, and a lot of comparisons have been made by estimating the performance of all their comparisons with different education sizes and choosing statistical lengths.

Authors (Wu and Brynjolfsson, 2009) [15] from MIT made an estimate of the way Google searches for global loan and income. The author is well aware about the near encounters between them in the fee of houses and the love for much priced houses. Data taken from net seek manner search queries the use of Google procedures and with the assistance of actual countrywide harmony-information gather each present of states.

The author provides a brief overview of how a random wooded algorithm is use for retrofitting and phase, power boost, and bag loading used as methods. It generates a lot of distinctions, and the difference between lifting and bagging as stated by Liaw et al. (2002) is the successive trees, calculating the weights of the objects and most will take predictions. Throughout the year 2001, Nghiep and Al (2001) proposed a randomized start-up that included fundraising and provided more randomly the entire random planning and postponement process, which is mentioned here in retrospect.

Eric Slone et al. (2014) improved the relationship among the various home factors and the number of residential queries analyzed using a simple linear regression and multiple linear regressions using a standard square method. Home square images have been used as descriptive variables in simple queues, and multi-line retouches include an increase in the measurement of the parcel of land, number of bedrooms, year of construction, and more descriptive.

Advanced Analytics and Deep Learning Models

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