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Building Machine Learning Systems with Python - Third Edition
book

Building Machine Learning Systems with Python - Third Edition

by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
July 2018
Beginner to intermediate
406 pages
9h 55m
English
Packt Publishing
Content preview from Building Machine Learning Systems with Python - Third Edition

Learning about the seeds dataset

We now look at another agricultural dataset, which is still small, but already too large to plot exhaustively on a page as we did with the Iris dataset. This dataset consists of measurements of wheat seeds. There are seven features that are present, which are as follows:

  • Area A
  • Perimeter P
  • Compactness C = 4πA/P²
  • Length of kernel
  • Width of kernel
  • Asymmetry coefficient
  • Length of kernel groove

There are three classes corresponding to three wheat varieties: Canadian, Koma, and Rosa. As earlier, the goal is to be able to classify the species based on these morphological measurements. Unlike the Iris dataset, which was collected in the 1930s, this is a very recent dataset and its features were automatically computed ...

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Publisher Resources

ISBN: 9781788623223