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 ...

I would like to contribute a lightweight and optimized implementation of Horizontal Federated Logistic Regression (2025 optimized version) to this project. This implementation is tailored for ...

This repository contains the complete implementation of a BSc Statistics dissertation investigating supervised learning approaches for fraud risk scoring in Nigerian financial transactions. The ...

ABSTRACT: Earned Value Management (EVM) has emerged as an effective project monitoring and control method while the construction industry has lagged other industries, such as defense and aerospace, in ...

1 Clinical Laboratory, Dongyang People’s Hospital, Dongyang, Zhejiang, China 2 Clinical Laboratory, The Second People’s Hospital of Yuhuan City, Yuhuan, Zhejiang, China Introduction: In this study, we ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

Objective: There is limited study on predictive models for live births in patients with polycystic ovarian syndrome (PCOS). The study aimed to develop and validate a nomogram for predicting live ...

In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...

Abstract: We present a versatile GPU-based parallel version of Logistic Regression (LR), aiming to address the increasing demand for faster algorithms in binary classification due to large data sets.