IEEE

Research on the Enhancement and Improvement of Logistic Regression Models

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 ...
IEEE

Bearing RUL Prediction Using Composite Health Index-Based Gaussian Process Regression Model With a Dynamic Change Point

Abstract: Predicting the remaining useful life (RUL) of bearings is crucial for system reliability and preventing unexpected shutdowns. Aiming at two critical issues in RUL prediction, the first ...
BMJ

Association between the cumulative average triglyceride glucose–body mass index and glycaemic state transitions in adults with pre-diabetes: evidence from the CHARLS cohort

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 ...
Hosted on MSN

Build logistic regression in Python from scratch easily

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 ...