scikit learn linear regression
from sklearn.linear_model import LinearRegression
X = np.array([[1, 1], [1, 2], [2, 2], [2, 3]])
y = np.dot(X, np.array([1, 2])) + 3
reg = LinearRegression().fit(X, y)
reg.score(X, y)
reg.coef_
reg.intercept_
reg.predict(np.array([[3, 5]]))python sklearn linear regression slope
lm = LinearRegression()
lm.fit(mpg, price)
print(lm.intercept_)
print(lm.coef_)Copyright © 2021 Codeinu
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