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A Review on Property Price Tracking Using ML Model

Puja Kumari, Aditi Yashwant Sharma, Eshna Jain, Isha Jain, Amol Saxena

Abstract


The very common reason for an investment is to get benefits in future. Different legal and illegal utilization leads to cost fluctuation. It is therefore important to well manage the [exploitative] of the property, and an application like price predictor is well equipped with optimal solution. However, such price prediction methods require an appropriate knowledge and experience regarding this domain. By utilising machine learning techniques and algorithms, the price of real estate can be predicted. In this paper, we have reviewed linear regression models in the machine learning domain to forecast plot pricing for clients taking their requirements and financial objectives into account. Future costs will be predicted using historical market trends, price ranges, and technological developments. By this method clients will benefit from investing money in a bequest without approaching a broker. The estate value was used to generate the forecasts after the data underwent an initial analysis using several charting settings.


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References


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