Categorical variable encoding is the process of transforming categorical variables into a numerical format that can be used in statistical models. This transformation is essential because many algorithms require input data to be in numerical form, enabling the model to interpret and analyze relationships between different categories effectively. The most common method of encoding is using dummy variables, where each category is represented as a separate binary variable.
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