In this example we will show how to get the coefficient values of the regression object in Python.
Source Code
import pandas as pd
from sklearn import linear_model
df = pd.read_csv("advertising.csv")
X = df[["TV", "radio", "newspaper"]]
y = df["sales"]
reg = linear_model.LinearRegression().fit(X, y)
print(reg.coef_)
Output:
[ 0.04576465 0.18853002 -0.00103749]