Incorrect transformation numerical features into categorical while preprocessing

[aPovidlo]

Found an error in case credit_scroing_problem.py. The dataset has numerical features, which each name starts from 'Number'. After preprocessing they are transform into categorical and the shape of dataset changes from (16000, 10) to (16000, 38).

[nicl-nno]

@aPovidlo твои новые фиксы это не покрывают?