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- W3159782251 abstract "Machine learning plays an important role in image detection, voice recognition, speech to text conversion, weather forecasting, etc. Safe automobile systems and fine customer services are also provided by machine learning systems. It is a part of artificial intelligence which means making the computers think like humans and solve the problems in the way that we do. In this paper, the prediction of housing prices that are generated by machine learning algorithms are discussed. We compare various prediction methods for the good results. Linear regression is chosen as our model because of the linearity. It makes the prediction procedure simple. We use the model and train the data and then do the testing. Finally, a supervised data is produced which is very essential to estimate the housing price in the real estate business. Our approach of this issue should be successful, and it must predict correctly. In this way, the buyers will get an idea whether to buy a house or not according to their budget." @default.
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- W3159782251 date "2021-01-01" @default.
- W3159782251 modified "2023-10-14" @default.
- W3159782251 title "House Price Prediction Using Machine Learning" @default.
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- W3159782251 doi "https://doi.org/10.1007/978-981-15-9774-9_73" @default.
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