It can happen that some categorical features have lot of different values with small frequencies. This can often be a problem during modeling phase.
Typical solution is to merge all categories with small (e.g. 5% , 1% etc… ) frequency of appearance in data set into one category e.g. Other
Below is the pandas example on the sweet data set 🙂
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