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[2], and it minimizes the sum of the absolute values of the coefficients. It’s very similar to Ridge regression but, instead of the L2 norm, it uses the L1 norm as part of the shrinkage penalty. That’s why Lasso is also referred to as L1 regularization. What’s powerful about Lasso is that it will