Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
Shrinkage’ in Lasso. The magnitude of this penalty term is governed by a parameter, typically denoted as λ (lambda). The Lasso regression cost function is expressed as: Minimize where: yi is the ith value of the variable we want to predict. β0 is the y-intercept. βj is the coefficient for the jth