We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...

Machine Learning is a method of teaching computers to find patterns in data and make predictions without being explicitly programmed for every scenario. Think of it this way: Traditional programming: ...

🌸📊 A Streamlit ML app to classify Iris flowers 🌼 into Setosa, Versicolor, or Virginica using scikit-learn 🚀 ...

Nvidia’s (NASDAQ: NVDA) stock price has taken a hit, retreating from its recent high above $180. However, artificial intelligence (AI) tools are projecting that the equity will likely reclaim this ...

Abstract: This project focuses on developing an efficient, and user-friendly diabetes mellitus checkup application powered by machine learning. The application is designed to offer a simple and ...

1 Department Health informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia 2 Department of Community Health Nursing, School of Nursing ...

Abstract: Cardiac Output (CO) is a key hemodynamic variable that can be estimated in a minimally invasive way via using Arterial Pressure Waveform Analysis (APWA). Many models use circulation ...

Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...