0 in the Challenges folder to get started. 

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# Lasso

[Lasso (least absolute shrinkage and selection operator)](https://en.wikipedia.org/wiki/Lasso_(statistics%29) is a form of variable selection regression that applies penalization to the coefficients through sparsity. It shrinks coefficients of the features that are not related to the outcome variable to zero, thus removing them to provide an ostensibly simpler model for interpretation.  

Sparsity: "Loosely speaking, a sparse statistical model is on