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The Machine Learning Workshop

You're reading from   The Machine Learning Workshop Get ready to develop your own high-performance machine learning algorithms with scikit-learn

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839219061
Length 286 pages
Edition 2nd Edition
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Author (1):
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Hyatt Saleh Hyatt Saleh
Author Profile Icon Hyatt Saleh
Hyatt Saleh
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Toc

Exploring the Dataset

Real-life applications are crucial for cementing knowledge. Therefore, this chapter consists of a real-life case study involving a classification task, where the key steps that you learned about in the previous chapter will be applied in order to select the best performing model.

To accomplish this, the Census Income dataset will be used, which is available at the UC Irvine Machine Learning Repository.

Note

The dataset that will be used in the following section, as well as in this chapter's activities, can be found in this book's GitHub repository at https://packt.live/2xUGShx.

Citation: Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

You can download the dataset from this book's GitHub repository. Alternatively, to download the dataset from the original source, follow these steps:

  1. Visit the...
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