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Machine Learning for Mobile
book

Machine Learning for Mobile

by Revathi Gopalakrishnan, Avinash Venkateswarlu
December 2018
Intermediate to advanced
274 pages
7h 46m
English
Packt Publishing
Content preview from Machine Learning for Mobile

Dataset naming

The name for this dataset is simply Boston. It has two photo tasks: now, in which the nitrous oxide level is to be predicted; and price, in which the median value of a home is to be predicted.

Miscellaneous details about the dataset are as follows:

  • Origin: The origin of the Boston housing data is Natural.
  • Usage: This dataset may be used for assessment.
  • Number of cases: The dataset contains a total of 506 cases.
  • Order: The order of the cases is mysterious.
  • Variables: There are 14 attributes in each case of the dataset. They are the following:
    • CRIM: Per capita crime rate by town
    • ZN: A proportion of residential land zoned for lots over 25,000 sq.ft
    • INDUS: A proportion of nonretail business acres per town
    • CHAS: Charles River ...
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Publisher Resources

ISBN: 9781788629355