application_vnd.jupyter.stderr_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

dtrain = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/train.csv')
dtrain['MSZoning']

dtrain = dtrain.drop(missing_data[missing_data['Total'] > 1].index, 1)
dtrain['Electrical'] = dtrain['Electrical'].fillna(dtrain['Electrical'].mode()[0])
dtrain.isnull().sum().max()