Answers for "linear regression using python sklearn"

8

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]]))
Posted by: Guest on September-06-2020
0

linear regression in python

from sklearn.linear_model import LinearRegression
lm = LinearRegression()
lm.fit(X, y)
Posted by: Guest on May-09-2021

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