application_vnd.jupyter.stderr_output_1.png
from sklearn.linear_model import LinearRegression

LR = LinearRegression()

y = Housetrain2.SalePrice
X = Housetrain2.drop('SalePrice', axis=1)

LR.fit(X, y)

LR.score(X, y)

LR