Problem 55185. Ridge regularized linear regression

Given a predictor data matrix X of size , target variable vector y of size and a shrinkage factor λ (scalar) (ridge regularization), write the function to compute linear regression model coefficients β to model the data. The data has n observations, p predictor variables in the X matrix
The model is defines as: where sigma is gaussian noise.
(Hint: search on google for closed form solution of a linear regression problem)

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62.5% Correct | 37.5% Incorrect
Last Solution submitted on Apr 17, 2023

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