Collaborative Data Science
Ordinal encoding is a technique used to convert categorical data into numerical values by assigning a unique integer to each category based on its rank or order. This method is particularly useful when the categories have a meaningful sequence, allowing models to leverage this order during analysis. By transforming qualitative data into quantitative format, ordinal encoding aids in cleaning and preprocessing datasets while enhancing feature selection and engineering processes.
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