#kütüphane tanımlanması
from sklearn.linear_model import LinearRegression
multi_linear_reg = LinearRegression()

x = data.drop(['id','price','zipcode','lat','long','date'],axis=1).values
y = data['price'].values.reshape(-1,1)
multi_linear_reg.fit(x,y)

b0 = multi_linear_reg.intercept_
b1 = multi_linear_reg.coef_
#Tahminler
y_head = multi_linear_reg.predict(x)

print("B0 :",b0)
print("B1 :",b1)

#Tahmin Skoru
from sklearn.metrics import r2_score
print("R Square Values :",r2_score(y,y_head))