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I've read that mean encoding is useful for classification tasks with high dimensional categorical data.

My question:

What kinds of encodings are effective for high dimensional categorical data in linear regression tasks? For example, can mean encoding be adapted?

Some possible applications:

  • Assigning credit limit using job title (we need to encode job title)
  • Predicting wait time at a nightclub from shoe type (we need to encode shoe type)
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