how to get slope and intercept of regression line in sklearn code example
Example: python sklearn linear regression slope
lm = LinearRegression()
lm.fit(mpg, price)
print(lm.intercept_)
print(lm.coef_)
lm = LinearRegression()
lm.fit(mpg, price)
print(lm.intercept_)
print(lm.coef_)