House Price Forecasting Based on Hybrid Multi-regression Model

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It is important to manage the production by analyzing the demand in the market. The market faces uncertain demands, short life cycle and lack of historical sales data due to which, forecasting becomes challenging. Various approaches have been proposed over the past few decades concerning this issue. This paper forms a basis for understanding the prediction mechanism by presenting a comprehensive literature review along with various domains in which sales forecasting can be done. For any prediction process we can’t define a certain model that will just outperform every other model but we can try and find suitable model according to the data. We have defined various models and also a hybrid model to predict the selling price of house based on its features, thus feature engineering is also applied to extract a fruitful dataset.