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Predicting Housing Prices with Python by Viren Patel is a document available to read on EtoBox.

What is Predicting Housing Prices with Python about?

The document discusses using linear regression to predict housing prices based on features of homes. It introduces a problem where a real estate agent wants to predict prices and is given data on homes and their features. The data is imported and explored, containing information on income, age, number of rooms/bedrooms, population, price and address of homes. Linear regression is identified as a method to build a model to predict prices from this data.

Author

Viren Patel

Language

EN