Linear_Regression Assignment problem

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
1

Hi
I am facing an issue with the linear regression assignment.
here is the error:

AssertionError Traceback (most recent call last)
in
6 print(‘Gradient at initial w, b (zeros):’, tmp_dj_dw, tmp_dj_db)
7
----> 8 compute_gradient_test(compute_gradient)

~/work/public_tests.py in compute_gradient_test(target)
60 dj_dw, dj_db = target(x, y, initial_w, initial_b)
61 #assert dj_dw.shape == initial_w.shape, f"Wrong shape for dj_dw. {dj_dw} != {initial_w.shape}"
—> 62 assert dj_db == -2, f"Case 2: dj_db is wrong: {dj_db} != -2"
63 assert np.all-close(dj_dw, -10.0), f"Case 1: dj_dw is wrong: {dj_dw} != -10.0"
64

AssertionError: Case 2: dj_db is wrong: -0.6640625 != -2

2

This means your code in compute_gradient() has an error in calculating the dj_db value.