Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...
Objective The aim of this study was to investigate inequalities in primary healthcare visits by using the Gini coefficients of primary healthcare visits (GPVs) as derived from large-scale and ...
Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...
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, ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP). Conclusion: This ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
1 School of Urban Construction, Yangtze University, Jingzhou, China. 2 Aeronautics Department, Nanchang Hangkong University, Nanchang, Jiangxi. This research investigates the problem of performing ...
Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...