Regularized Logistic Regression Intuition

In this notebook we’ll manually implement regularized logistic regression in order to facilitate intuition about the algorithm’s underlying math and to demonstrate how regularization can address overfitting or underfitting. We’ll then implement logistic regression in a practical manner utilizing the ubiquitous scikit-learn package. The post assumes the reader is familiar with the concepts of optimization, cross validation, […]