GitHub

Student-Performance-Prediction-and-Personalized-Feedback

This project focuses on predicting student academic performance using a dataset of 1500 student records. It analyzes factors such as attendance, study time, previous scores, and behavioral attributes ...
The Harvard Crimson

Harvard Students’ AI Usage: By the Numbers

Magazine reporters visited the 12 upperclassmen Houses and Annenberg, asking undergraduates to complete a survey sharing their thoughts about artificial intelligence. 303 survey responses were ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
Frontiers

Integrating meteorological and breeding data to predict maize yields using machine learning algorithms

Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown ...
IEEE

Machine Learning Algorithms for Student Performance Prediction: A Literature Review

Abstract: This full research paper presents a systematic literature review (SLR) to evaluate different Machine Learning (ML) algorithms used in predicting student success. As educational institutions ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
IEEE

Machine Learning Approaches for Student Performance Prediction

Abstract: India's Education system is very old and due to a large population of students in India, there are some serious issues in analyzing and predicting students' performance. In the Indian ...