The document lists 80 machine learning projects from 2022-2023 spanning various domains including air pollution prediction, fraud detection, malware detection, healthcare, recommendation systems, and more. Many of the projects apply machine learning techniques like deep learning, neural networks, graph convolutional networks to problems in domains like cybersecurity, healthcare, transportation, and social media analysis. The goals of the projects include prediction, detection, classification, and understanding of phenomena.