Machine Learning, Regression, Data Science.
penalize the sum of absolute values(1-norm) of the model coefficients. The lasso uses L1 norm of the weight vector and estimate solves the minimization of the least-squares penalty with α||w||1 added, where α is a constant and ||w||1 is the ℓ1-norm of the coefficient vector. Lasso regression