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This project attempts regression kriging to predict the housing price per unit area.
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Kriging parameters have been selected using gridsearchCV
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Package used is pykrige.
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The machine learning algorithms used for predicion are linear regression, SVM and random forest.
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Linear regression r-squared increases by 20% when kriging is performed on its residuals