Data Science, Linear Regression, Machine Learning, Python, Numpy.
the left side of `X` to account for the bias term, and initializes `betas` with random values. It returns the modified `X` and `betas.` The `yhat` method takes in `X` and `betas.` It returns the predicted values of `y` by multiplying `X` with the transpose of `betas.` The `loss` method takes in