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 ...
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 ...
In a study of patients with treatment-naïve chronic lymphocytic leukemia (CLL) or small lymphocytic lymphoma (CLL/SLL) who do not have 17p deletions, Jaypirca topped the chemoimmunotherapy combination ...
Abstract: Machine learning models are being increasingly deployed in sensitive applications where data privacy and model security are of paramount importance. This paper introduces a novel ...
Abstract: Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in settings ...
Objective: The purpose of this study was to analyse the risk factors for bleeding after proctologic surgery, provide a reference for clinical management and improve postoperative recovery in patients.
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mesoporous carbon has attracted increasing attention as an effective material for ...