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This project demonstrates a machine learning approach to predict house prices in California using the California housing dataset from the Seaborn library. The primary goal is to build a robust model that can estimate the median house values based on various features like median income, house age, and geographic location.

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4702chahat/House-Price-Prediction

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This project demonstrates a machine learning approach to predict house prices in California using the California housing dataset from the Seaborn library. The primary goal is to build a robust model that can estimate the median house values based on various features like median income, house age, and geographic location.

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