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