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Question: Implement gradient descent algorithm to find optimal parameters for a linear regression problem (y = b + w1x1 + w2x2+ ... +wnxn).
The cost function can be taken as the sum of squares.
Instructions:• Assignment is to be done in teams of 2 members.• Implement the code in python.• You can take any suitable dataset - normalize the data before using it.• Show scatter plot of data.• Your code should run for a set of iterations and print cost after each iteration.• Plot the cost vs. no. of iterations.
I have attached the assignment, all the instructions are written in that, complete as instructed in assignment. Deadline is 3 weeks from now.
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