categorical_columns_small=['meal',

 'distribution_channel',

 'reserved_room_type',

 'customer_type']

 

 

categorical_columns_big=['arrival_date_month', 'country']

 

 

encoder_s = OneHotEncoder(handle_unknown='ignore')

encoder_b = MEstimateEncoder(handle_unknown='ignore')

encoder_s.fit(data_train[categorical_columns_small])

data_train_categorical_sm = pd.DataFrame(encoder.transform(data_train[categorical_columns_small]).toarray())

data_test_categorical_sm = pd.DataFrame(encoder.transform(data_test[categorical_columns_small]).toarray())

encoder_b.fit(data_train[categorical_columns_big])

data_train_categorical_sm = pd.DataFrame(encoder.transform(data_train[categorical_columns_big]).toarray())

data_test_categorical_sm = pd.DataFrame(encoder.transform(data_test[categorical_columns_big]).toarray())