Implement a linear regression model to predict house prices using features such as square footage, the number of bedrooms, and bathrooms. This model will learn the relationship between these features and house prices, providing a way to estimate the price of a house given its characteristics.
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Implement a linear regression model to predict house prices using features such as square footage, the number of bedrooms, and bathrooms. This model will learn the relationship between these features and house prices, providing a way to estimate the price of a house given its characteristics.
NadaEssam178/PRODIGY_ML_01
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Implement a linear regression model to predict house prices using features such as square footage, the number of bedrooms, and bathrooms. This model will learn the relationship between these features and house prices, providing a way to estimate the price of a house given its characteristics.
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