Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

The Dynamic ETF Allocation using CAPE-MA35 provides a practical market-timing approach that bridges long-term valuation ...

Student Mark Prediction is a machine learning web application that predicts students' exam scores based on various demographic and academic features. Built with Streamlit and powered by a linear ...

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 ...

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...

The marquee matchup of college football’s Week 2 action finds a notable Big Ten vs. SEC clash between top 25 ranked opponents as No. 15 Michigan faces off on the road against No. 18 Oklahoma. Here is ...

The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ZEF ...