defining columns with missing value and handling missing value

categorical_columns = ['emp_length']
numerical_columns = ['revol_util','collections_12_mths_ex_med','inq_last_6mths','acc_now_delinq','delinq_2yrs','total_acc',
                     'pub_rec','annual_inc']

for col in categorical_columns:
    mode_value = df[col].mode()[0]
    df[col].fillna(mode_value, inplace=True)

for col in numerical_columns:
    median_value = df[col].median()
    df[col].fillna(median_value, inplace=True)