See the following image for linreg.py

SEng 474; CSc 587D: 30 pts (a) Implement the batch gradient descent algorithm. Plot the cost function for each iteration. Test it with a few different learning rates. E.g. K0.001, 0.01, 0.1 Explain what is happening. [15 pts] (b) Implement the stochastic gradient descent algorithm. Plot the cost function with different learning rate. Compare it with the batch gradient descent. [15 pts] SEng 474; CSc 587D: 30 pts (a) Implement the batch gradient descent algorithm. Plot the cost function for each iteration. Test it with a few different learning rates. E.g. K0.001, 0.01, 0.1 Explain what is happening. [15 pts] (b) Implement the stochastic gradient descent algorithm. Plot the cost function with different learning rate. Compare it with the batch gradient descent. [15 pts]