Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.
random
linear-regression
cross-validation
gradient
polynomial-regression
learning-curve
regularized-linear-regression
bias-variance
cost-function
regularization-methods
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Updated
Jun 21, 2020 - MATLAB