Machine Learning in Human Resources Management for Higher Education Institutes

This research article explores the intersection of Machine Learning (ML) and the Internet within the domain of Human Resource Management (HRM) in Higher Education Institutes (HEIs). It investigates how these technologies can reshape Human Resource (HR) practices, specifically focusing of faculty retention. The ML model is designed to act upon the collected data to provide immediate support in aiding HR professionals in predicting and managing employee retention. The research also highlights the importance of data collection using Internet, ensuring speeding and ethical data handling practices. The article encompasses a comprehensive review of existing literature, detailed methodology, practical implementation, and rigorous assessment of the proposed model, aiming to provide a holistic view of this transformative landscape in HRM.