Abstract: This paper presents a gender classification model based on face features using logistic regression and K-Nearest Neighbors (KNN) classifier. The dataset contained long hair, forehead breadth ...

Binary Classification and Regression in Machine Learning Overview This project focuses on implementing machine learning models for two key tasks: Binary Classification: Predicting categorical outcomes ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...

ABSTRACT: Over the past ten years, there has been an increase in cardiovascular disease, one of the most dangerous types of disease. However, cardiovascular detection is a technique that analyzes data ...

Abstract: This study aimed to utilize sentiment classification to ascertain the sentiment of undergraduate students towards the course they have studied. This case study specifically examines the ...

This project was completed as a part of the Honors portion of the Supervised Machine Learning: Regression and Classification Course on Coursera. Credit to IBM and the Coursera platform for providing ...

Introduction: Sequencing and phylogenetic classification have become a common task in human and animal diagnostic laboratories. It is routine to sequence pathogens to identify genetic variations of ...

In neuroscience, the structural connectivity matrix of synaptic weights between neurons is one of the critical factors that determine the overall function of a network of neurons. The mechanisms of ...

AGOURA HILLS, Calif.--(BUSINESS WIRE)--Aptuit, Inc. announced today that it has successfully deployed the integrated labeling solution from the industry standard Clinicopia® Suite globally within its ...