Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...
Recent data suggests a significant positive relationship between the Triglyceride-Glucose (TyG) index—a marker of insulin ...
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Linear regression cost function explained for beginners
Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...
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Linear regression using gradient descent explained simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...
Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...
The dual-track analysis confirms that the Jordanian Paradox is influenced by deeply rooted, intersecting institutional ...
Abstract: This research paper addresses the pressing issue of air quality monitoring and prediction using machine learning algorithms. With a dataset comprising pollutant levels from various states, ...
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