Regularization for Logistic Regression: L1, L2, Gauss or Laplace?

Regularization can be used to avoid overfitting. Common regularization techniques are L1, L2, Gauss, and Laplace. In this blog post we describe what regularization is, the common techniques, and how they differ, when applied to the training of a logistic regression model.