Find optimal parameters for a linear regression problem

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Reference no: EM133320277

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.

Reference no: EM133320277

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len3320277

1/22/2023 9:38:39 PM

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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