7. Assume a linear model and then add 0-mean Gaussian noise to generate a sample. Divide your...
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7. Assume a linear model and then add 0-mean Gaussian noise to generate a sample. Divide your sample into two as training and validation sets. Use linear regression using the training half. Compute error on the validation set.
Do the same for polynomials of degrees 2 and 3 as well.
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