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Predicting house prices: a regression example

We'll attempt to predict the median price of homes in a given Boston suburb in the mid-1970s, given data points about the suburb at the time, such as the crime rate, the local property tax rate, etc. We predict a continuous value instead of a discrete label, which is a common type of machine learning problem called regression.

Net architecture for predicting house prices

Keras computational graph for the predicting house prices task.