This project is based on House Prices dataset which consists of 2073 rows and 81 columns. Objective is to predict the price of the houses by a Regression Technique called Linear Regression after performing Principal Component Analysis.
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This project is based on House Prices dataset which consists of 2073 rows and 81 columns. Objective is to predict the price of the houses by a Regression Technique called Linear Regression after performing Principal Component Analysis.
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bushra-ansari/Property-Price-Prediction-by-Linear-Regression
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This project is based on House Prices dataset which consists of 2073 rows and 81 columns. Objective is to predict the price of the houses by a Regression Technique called Linear Regression after performing Principal Component Analysis.
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