from sklearn.linear_model import LinearRegression

model = LinearRegression()
model.fit(X_train, y_train)
print(model.coef_, model.intercept_)

• Assumes a linear relationship between features and the target
• Minimizes mean squared error between predictions and actual values
• Fast, interpretable — often the right first model to try