Abstract: This study proposes a novel machine learning-based employee classification system to address the critical challenge of employee attrition, offering significant advancements in workforce ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
This repository consist of various machine learning models along with the dataset. The models are trained with widely used ML algorithms like Gradient Boost , Random Forest etc. Pickle is used to ...
Abstract: Organizations face a major problem with employee turnover, which affects operating expenses, morale, and productivity. Machine learning (ML)-powered human resource (HR) analytics provides a ...
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