Categorical data refers to variables that contain label values rather than numeric values. Machine learning algorithms, on the other hand, mainly operate on numeric data. Therefore, encapsulating ...
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Categorical vs. Continuous Data: What’s the Difference?One of the most obvious benefits is the ability to quickly recognize trends, changes, and patterns based on inter-related variables. Categorical data is also useful for ensuring control and ...
A categorical variable is defined as one that can assume only a limited number of values. For example, a person's sex is a categorical variable that can assume one of two values. Variables with levels ...
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