Given a matrix of X and y values, write a function to generate a transposed matrix and estimate the parameters for linear regression.
A = [[1, 5], [4,8], [5,9]]
#Output A_T = [[1, 4, 5], [5, 8, 9]] coefficients= [4, 1] #As coefficients is a list of [W0, W1...Wn] as n is the #(number of features). linear_regression() -> (A_T , coefficients)
Note: Return the solutions a tuple of (
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