linear regression.py

from sklearn.linear_model import LinearRegression
regressor = LinearRegression() regressor.fit(X_train, y_train, y_pred = regressor.predict(X_test) plt.scatter(X_train, y_train, color = 'red')
plt.plot(X_train, regressor.predict(X_train), color = 'blue')
plt.title('Salary vs Experience (Training set)')
plt.xlabel('Years of Experience') plt.ylabel('Salary')
plt.show()
plt.scatter(X_test, y_test, color = 'red') plt.plot(X_train, regressor.predict(X_train), color = 'blue') plt.title('Salary vs Experience (Test set)') plt.xlabel('Years of Experience') plt.ylabel('Salary')
plt.show()