Gradient descent algorithms are widely considered the primary choice for optimizing deep learning models. However, they often require adjusting various hyperparameters, like the learning rate, among ...

A comprehensive, object-oriented implementation of logistic regression from scratch using NumPy, featuring gradient descent optimization, comprehensive evaluation metrics, and visualization ...