Download PDFOpen PDF in browserReal Estate Price PredictionEasyChair Preprint no. 49265 pages•Date: January 22, 2021AbstractIn this paper, we have a tendency to predicting the sale value of the homes victimization numerous machine learning algorithms. Housing sales value are determined by various factors like space of the property, location of the house, material used for construction, age of the property, range of bedrooms and garages so on. This paper uses machine learning algorithms to make the prediction model for homes. Here, machine learning algorithms like supplying regression and support vector regression, Lasso Regression technique and call Tree are used to make a prognostic model. supplying Regression, SVM, Lasso Regression and call Tree show the R-squared price of 0.98, 0.96,0.81 and 0.99 severally. Keyphrases: data cleaning, data visualization, House price forecasting, House Price Prediction, linear regression, real estate.
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