Artificial Intelligence Question Develop a simple linear regression model (univariate model) using the gradient descent method for experience salary datasets as it is shown on the following table Once you got the model, check how close the predicted values against the ground truth and calculate the total error (mean square error) and the accuracy R 2 No Experience Salary ($) Predicted 1 0 5 2500 2 0 0 2250 3 1 0 2750 4 5 0 8000 5 8 0 9000 6 4 0 6900 7 15 0 20000 8 7 0 8500 9 3 0 6000 10 2 0 3500 11 12 0 15000 12 10 0 13000 13 14 0 18000 14 6 0 7500 P S Please answer in a proper format Please answer in a typed or softcopy format Please don't do it with pen or pencil, do it with software or tools If you want to ask any question, ask it in the comment section, I will try to answer it Thanks

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Question: Artificial Intelligence Question Develop a simple linear regression model (univariate model) using the gradient descent method for experience-salary datasets as it is shown on the

Artificial Intelligence Question

Develop a simple linear regression model (univariate model) using the gradient descent method for experience-salary datasets as it is shown on the following table. Once you got the model, check how close the predicted values against the ground truth and calculate the total error (mean square error) and the accuracy R².

No	Experience	Salary ($)	Predicted
1	0.5	2500	?
2	0.0	2250	?
3	1.0	2750	?
4	5.0	8000	?
5	8.0	9000	?
6	4.0	6900	?
7	15.0	20000	?
8	7.0	8500	?
9	3.0	6000	?
10	2.0	3500	?
11	12.0	15000	?
12	10.0	13000	?
13	14.0	18000	?
14	6.0	7500	?

P.S:

- Please answer in a proper format - Please answer in a typed or softcopy format - Please don't do it with pen or pencil, do it with software or tools - If you want to ask any question, ask it in the comment section, I will try to answer it

Thanks!

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