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 ...

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 ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

A regression algorithm is used to detect the oil spilling in sea water using SAR images. Different types of regression algorithms 5.2.1. Logistic Regression Algorithm (LRA): [7] The LRA used for ...

Abstract: In this paper, the $\mathbf{C O}$ sensor correction is completed in Wanliu area as an example, so as to achieve accurate measurement of CO in Wanliu area. First, we extracted CO data from ...

Rahimov, N. and Dilmurod, K. (2015) The Application of Multiple Linear Regression Algorithm and Python for Crop Yield Prediction in Agriculture. Harvard Educational and Scientific Review, 2, 179-187.