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      1 # Lasso Regression (Least absolute shrinkage and selection operator regression)
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      3 ML D3
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      5 **Definition:** Lasso regression is another form of linear regression that adds a regularization term to the loss function but weights it different than ridge regression.
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      7 The main difference between this and ridge is that ridge scales coeficients consistently whereas this does not. As such, often it outputs a sparse model which scales certain coeficcients to 0.