L2 regularization can also be applied to logistic regression, which is a classification algorithm. It helps to prevent overfitting by penalizing the magnitude of the coefficients, similar to linear ...

This is a custom implementation of a logistic regression model in Python, created from scratch. The model uses gradient descent optimization to learn the optimal weights and bias for binary ...

After an introduction to regularization and methods to diagnose when to use it, you’ll start implementing regularization techniques on linear models, such as linear and logistic regression ... Basic ...