Problem with categorical missing values

Hi there friends,
During my work on this assignment, after encoding the categorical data the fitting is giving me an error as “ValueError: Input contains NaN”. after checking the workflow, I realized that the imputation of categorical columns was not covered. Should we dot it here to solve this issue? is anyone who came across the same problem… need some hint.


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The categorical features contain NaN values , so you need to fill them with the string ‘unknown’, that way the model ignore them:

inputs_df[categorical_cols]= inputs_df[categorical_cols].fillna(‘unknown’)

thanks! good luck bro !

thank you very much @samir-kouider it helped me.