This project demonstrates a complete machine learning pipeline for predicting diabetes risk based on medical indicators. The model achieves 85% accuracy and 0.90 AUC using Random Forest classifier.

A data-driven analysis and machine learning model to predict passenger survival in the Titanic disaster using Python, Pandas, and Scikit-learn. This project is a classic machine learning challenge ...

Google offers a free, lightweight operating system that essentially turns any machine into a Chromebook. It's a great way to keep an aging computer in service longer. Because the software is simple ...

Veronica Beagle is the managing editor for Education at Forbes Advisor. She completed her master’s in English at the University of Hawai‘i at Mānoa. Before coming to Forbes Advisor she worked on ...

Toni is a points and miles enthusiast who has been leveraging loyalty programs to travel around the world (for nearly free) with her husband and their four young children. She’s passionate about ...

A China-aligned threat actor known as TA415 has been attributed to spear-phishing campaigns targeting the U.S. government, think tanks, and academic organizations utilizing U.S.-China economic-themed ...