I have a data set with all categorical predictors. They are 14 in number. If I do one-hot encoding, I would be getting more than 35 new features, which I think is not right due to the curse of dimensionality. The samples are just about 8k. Please, can someone tell me how to go about encoding these features? Thank you in advance.