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Hands-On Automated Machine Learning
book

Hands-On Automated Machine Learning

by Sibanjan Das, Umit Mert Cakmak
April 2018
Beginner to intermediate content levelBeginner to intermediate
282 pages
6h 52m
English
Packt Publishing
Content preview from Hands-On Automated Machine Learning

Binning

Binning is a process of grouping the continuous numerical values into smaller numbers of buckets or bins. It is an important technique that discretizes continuous data values. Many algorithms such as Naive Bayes and Apriori work well with discrete datasets, and so it is necessary to convert continuous data to discrete values.

There are various types of binning methodologies:

  • Equiwidth binning: The equiwidth bins are determined by partitioning the data into k intervals of equal size:

Where w is width of the bins, maxval is the maximum value in the data, minval is the minimum value in the data, and k is the desired number of bins

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Publisher Resources

ISBN: 9781788629898Supplemental Content