Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...
Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...
This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...
Generative AI powers apps and tools that boost productivity and knowledge in much of the world. But these systems don’t work equally well for all communities—especially those under-represented online, ...
No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...
Abstract: Predicting students' academic achievement is a difficult and challenging task, especially with the advancement of machine learning technology. However, despite the belief that learning ...
A complete, production-ready ETL (Extract, Transform, Load) data pipeline automation project using Python, Pandas, MySQL, and Apache Airflow. This project demonstrates best practices for building ...
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