Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

In many different sciences, including medicine, engineering, and observational studies, the investigation of the relationship between variables, i.e., dependents, and independents, is defined as ...

BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...

This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The wind power ...