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Real-Estate-Price-Prediction-Utilizing-Multiple-Linear-Regression-to-Optimize-Property-Valuation

This project involved an in-depth exploration of property valuation optimization through the use of Multiple Linear Regression in Microsoft Excel, aimed at refining accuracy in property values. The project addressed market volatility and localized influences by leveraging data-driven insights and advanced analytical techniques. My role was critical in enhancing RealEstateBud’s capability to deliver precise and transparent property valuations, thereby fortifying its competitiveness and instilling trust among clients. Key learning points • Exploratory Data Analysis • Feature Engineering • Multiple Linear Regression • Model Development • Model Evaluation • Data Visualization

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