- Main description:
- The project aimed at using statistical and machine learning algorithms to analyze and forecast the prices of houses. The project involves collecting data on housing prices and relevant features, such as location, size, age, and amenities, and training models to make predictions based on that data. The goal is to produce accurate predictions that can be used by real estate agents, developers, and buyers to make informed decisions.
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The House Price Prediction project uses machine learning to forecast house prices based on input variables. It showcases the power of data science in the housing industry and emphasizes the importance of data-driven decision-making.
dmkn96/HousePrice_prediction_project
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The House Price Prediction project uses machine learning to forecast house prices based on input variables. It showcases the power of data science in the housing industry and emphasizes the importance of data-driven decision-making.
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