+Lasso, or Least Absolute Shrinkage and Selection Operator, is a statistical method that enhances the accuracy and interpretability of [Regression](/wiki/Regression) models. It applies a form of [Regularization](/wiki/Regularization) to prevent overfitting, driving less important feature coefficients to zero.
+## See also
+- [Ridge Regression](/wiki/Ridge_Regression)
+- [Elastic Net](/wiki/Elastic_Net)
+- [Machine Learning](/wiki/Machine_Learning)