Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
predictor variable xij. λ is the regularization parameter. How Lasso Regression Tackles the Overfitting Problem Overfitting is a common problem in machine learning where a model performs well on training data but poorly on unseen data. Essentially, the model learns the training data too well,