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Python Machine Learning: Perform Python Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow by Vahid Mirjalili, Sebastian Raschka

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Exploring the Housing dataset

Before we implement our first linear regression model, we will introduce a new dataset, the Housing dataset, which contains information about houses in the suburbs of Boston collected by D. Harrison and D.L. Rubinfeld in 1978. The Housing dataset has been made freely available and is included in the code bundle of this book. The dataset has been recently removed from the UCI Machine Learning Repository but is available online at https://raw.githubusercontent.com/rasbt/python-machine-learning-book-2nd-edition/master/code/ch10/housing.data.txt. As with each new dataset, it is always helpful to explore the data through a simple visualization, to get a better feeling of what we are working with.

Loading the Housing dataset ...

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