Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...

Abstract: This study deals with the various contributors of obesity through the use of advanced ML algorithms are KNN and linear regression. These KNN and linear regression algorithms help to ...

ABSTRACT: Accurate forecasting of the system marginal price (SMP) is crucial to improve demand-side management and optimize power generation scheduling. However, predicting the SMP is challenging due ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

This project explores two different investigation using methods of machine learning and hybrid approach to predict the peak energy consumption in Ireland and energy production in Portugal based on ...

ABSTRACT: Groundwater recharge (GR) is one of the most important processes of the hydrologic cycle, especially in urbanizing regions where land use and climate variability are interacting in a very ...

This project uses historical BTC-USD data to predict the next day's logarithmic returns. The primary goal is to build and evaluate simple linear regression models (Linear, Ridge, Lasso) and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics and ...