Categorical data represents a fixed set of possible values, typically strings or integers representing discrete groups. In Pandas, the categorical dtype stores data internally as integer codes mapped…
Read more →Categorical data appears everywhere in real-world datasets: customer segments, product categories, geographic regions, survey responses. Yet most pandas users treat these columns as plain strings,…
Read more →Categorical features represent discrete values or groups rather than continuous measurements. While numerical features like age or price can be used directly in machine learning models, categorical…
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