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    Real estate prices depend on a mix of structural, locational, and categorical factors that don't always relate to price in a simple linear way. This project: Simulates a realistic residential listings dataset for 6 Indian cities (Indore, Bhopal, Pune, Bangalore, Nagpur, Ujjain), deliberately including missing values, duplicate rows, and data-entry outliers. Cleans and explores the data to understand what actually drives price. Trains and compares two regression models — Linear Regression and Random Forest. Wraps the better-performing model in an interactive Streamlit app so anyone can enter property details and get an instant price estimate. Note on the data: the dataset used here is synthetically generated (see ) rather than scraped, so the project can run fully offline and be...

    €199 Average bid
    €199 Oferta promedio
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