text_html_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

train_df = pd.read_csv('/kaggle/input/neolen-house-price-prediction/train.csv')
test_df = pd.read_csv('/kaggle/input/neolen-house-price-prediction/test.csv')

train_df = train_df.drop(['Id'], axis=1)
test_df = test_df.drop(['Id'], axis=1)
labels = train_df['SalePrice']
data = pd.concat([train_df, test_df], ignore_index=True)
data = data.drop('SalePrice', 1)

print(f'Shape of train set: {train_df.shape}')
print(f'Shape of test set: {test_df.shape}')