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 ...

Objectives The role of the triglyceride–glucose body mass index (TyG-BMI) in glycaemic state transitions among individuals with pre-diabetes remains unclear. This study explores the association ...

Abstract: The trust study was begun in the 1960s. Previous research has been particularly focused on understanding the psychological underpinnings of trust formation and sustenance, with influences ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...