Abstract: This study presents a web-based intelligent system that uses machine learning algorithms to predict student academic performance. The system uses historical data to assess the effectiveness ...

Researchers at UConn and the University of Minnesota have discovered that there may be more to the "summer slide" phenomenon ...

Abstract: In this paper, we address the important problem of student academic performance prediction, with an emphasis on improving the learning process for lowering failure rates. This research has ...

Many of today’s college students are digital natives, having grown up in a world dominated by cellphones, the internet, social media and rapid technological advancements. As a result, more primary and ...

The stock market has been doing exceptionally well over the past three years, and a slowdown could be looming. Investors are growing concerned about high valuations due to tech. The Federal Reserve is ...

Background: The purpose of this study is to use a variety of machine learning (ML) algorithms to build a risk prediction model for nursing students’ social anxiety, select the optimal model, and ...

Prediction markets, which allow users to trade contracts on the future outcome of everything from politics to weather, are seemingly popping up everywhere. Processing Content This week one of the most ...

A complete, production-ready full-stack system that predicts student academic performance using machine learning algorithms and provides a modern web-based interface for predictions and analytics.

A comprehensive machine learning project that predicts student mathematics performance using demographic, socioeconomic, and behavioral factors. The project includes exploratory data analysis, model ...

Can Daniel Jones top 250 passing yards in Week 9? Michael Hickey / Getty Images Though they’re ultimately two different lenses, sports betting can provide some smart intel for fantasy football and how ...

Introduction: Adolescent obesity has emerged as a critical global public health challenge, necessitating effective tools for early identification and intervention. This study aimed to identify ...