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

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

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 ...

The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

A research team has developed an innovative remote sensing model that significantly improves the accuracy of monitoring ...

Key Takeaways Beginner-friendly data science courses teach real-world skills in simple steps.Online platforms offer flexible ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Optimizing concrete with recycled shea nutshell ash using the Box-Behnken design, this study enhances performance metrics ...

Objectives Cardiopulmonary involvement (CPI) is a major cause of morbidity and mortality in systemic sclerosis (SSc). The 6 min walk test (6MWT) is widely used to assess functional capacity, but its ...

Escape algorithm fatigue with 30 genuinely mind-bending films hiding in streaming queues. From micro-budget time travel to ...

Topics covered include rising food allergies in children, the psychological burden of chronic allergic diseases, predictors ...