Introduction to Data Discretization with example

00:00 - Data discretization
02:43 - categories or bins
03:02 - example of equal width
Data discretization is the process of converting continuous data or attributes into a finite set of discrete intervals or categories. This transformation is essential for many machine learning algorithms, particularly those that require or perform better with categorical input, such as decision trees and rule-based classifiers.
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