GitHub - DSEXPL0RER/Housing_Price_Prediction: This Python program preprocesses housing data, deals with missing values, normalizes skewed data, selects relevant features, and builds a Linear Regression model to predict housing prices. It evaluates the model using cross-validation and calculates the mean squared error for performance assessment.

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This Python program preprocesses housing data, deals with missing values, normalizes skewed data, selects relevant features, and builds a Linear Regression model to predict housing prices. It evaluates the model using cross-validation and calculates the mean squared error for performance assessment.