Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

This project implements logistic regression from scratch to classify students into Hogwarts houses based on their academic data. It includes data preprocessing, training the model, making predictions, ...

Existing adaptive gradient descent optimization algorithms such as adaptive gradient (Adagrad), adaptive moment estimation (Adam), and root mean square prop (RMSprop), increase the convergence speed ...