Data Science, Machine Learning, Regression, Data Analysis, Statistics.
sparsity in the model coefficients, potentially reducing some coefficients to zero, thus performing feature selection. L2 regularization, on the other hand, doesn’t encourage sparse coefficients but effectively shrinks them, leading to models that are less sensitive to individual features. By