| import pandas as pd | |
| from sklearn.model_selection import train_test_split | |
| from sklearn.linear_model import LinearRegression | |
| data=pd.read_csv('kc_house_data.csv') | |
| y=data["price"].values | |
| p=data.drop(['id','price','date','sqft_lot','condition','grade','sqft_above','sqft_basement','yr_built','yr_renovated','zipcode','sqft_living15','sqft_lot15'],axis=1) | |
| X=p.values | |