Lecture 13 Quiz
Nonlinear modeling, cross-validation
After adding polynomial terms, a linear model is still linear in terms of:
When normalizing/rescaling the features of the validation set, we should (generally) normalize using the min and range from the:
How does regularization help control the complexity of your model?
By removing features from the model
By penalizing large coefficients in the model
By reducing the degree of polynomial features
By normalizing the coefficients of the model
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