This project uses the California Housing dataset to build a predictive model for house prices. The dataset includes features such as location, median income, housing age, and more. The goal is to predict house prices based on these features, providing insights into the factors that influence the cost of housing in California.
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This project uses the California Housing dataset to build a predictive model for house prices. The dataset includes features such as location, median income, housing age, and more. The goal is to predict house prices based on these features, providing insights into the factors that influence the cost of housing in California.
apn-tech/House-Price-Prediction
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This project uses the California Housing dataset to build a predictive model for house prices. The dataset includes features such as location, median income, housing age, and more. The goal is to predict house prices based on these features, providing insights into the factors that influence the cost of housing in California.
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