When using the Office JavaScript API to update rows in an Excel.Table, the performance should be consistent with previous versions. Specifically, updating 1,500 random rows (10% of a 15,000-row table) ...

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...

Abstract: The log-binomial regression model is an essential tool for performing relative risk regression to analyze binary outcomes. The Hotelling T2 Control Chart is an effective multivariate process ...

ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

Objective: This study aims to investigate the association between skeletal muscle mass (SMM) and left ventricular mass (LVM), providing a basis for health management and cardiac health interventions ...

Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...

Houses a series of projects I worked on for a course in Data Mining that I took in my Ph.D. Data Science program at UTEP in the Fall of 2022. Covers areas such as Regularized Logistic Regression, ...

Department of Health and Aging Australia. The Review of the AR-DRG Classification System Development Process: Brisbane, QLD, Australia: PricewaterhouseCoopers; 2009. 2. Klein-Hitpass U, ...

Regression models predict outcomes like housing prices from various inputs. Machine learning enhances regression by analyzing large, complex datasets. Different regression types address varied data ...