text_plain_output_1.png
import pandas as pd

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

df = pd.read_csv('/kaggle/input/advancehousepriceprediction/train.csv', usecols=['SalePrice', 'MSSubClass', 'MSZoning', 'LotFrontage', 'LotArea', 'Street', 'YearBuilt', 'LotShape', '1stFlrSF', '2ndFlrSF']).dropna()

df.shape

df.drop('YearBuilt', axis=1, inplace=True)

df.columns

cont_features = []
for i in df.columns:
    cont_features.append(i)

df.info()