import numpy as np
import scikitlearn
X = np.array([
    [10, 80], [8, 0], [8, 200], [5, 200], [7, 300], [8, 230], [7, 40], [9,
0], [6, 330], [9, 180]
])
y = np.array([469, 366, 371, 208, 246, 297, 363, 436, 198, 364])

lm = LinearRegression()
from sklearn import linear_model
from sklearn import datasets, linear_model
reg = linear_model.LinearRegression()
reg.fit (X,y)
reg.coef_
diabetes = datasets.load_diabetes()
diabetes_X1 = diabetes.data[:, 2]
diabetes_X_train = diabetes_X[:20]
diabetes_X_test = diabetes_X[-20:]