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Kamal Kiran Mahanna answered on July 4, 2022 Popularity 1/10 Helpfulness 1/10

answer lr

lr

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from sklearn.linear_model import LinearRegression

lr = LinearRegression()
lr.fit(X, y)

print(f"Intercept: {lr.intercept_}\n\
Coefficients: {lr.coef_}")
print(f"Prediction: {lr.predict(new_sample)}")

Intercept: 0.3592124267797807
Coefficients: [ 6.12919918 96.44309686]
Prediction: [12.21158829]

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Contributed on Jul 04 2022

Kamal Kiran Mahanna

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