ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting.

Novel Non-Linear Logistic Regression Analysis achieves 99.2% accuracy in identifying fraudulent medicare claims, promising enhanced fraud-protection benefits and a reduced systemic healthcare burden ...