Encoding Categorical Variables
Categorical feature preparation
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I have categorical variables in my dataset: [VARIABLE_LIST] with respectively [CARDINALITIES] categories. My target model is [MODEL_TYPE]. Recommend the best encoding strategy for each variable (one-hot, label encoding, target encoding, etc.) and explain your reasoning.
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