Abstract: Employee turnover prediction is a critical task for organizations aiming to retain talent and reduce costs. In this study, we utilized the Kaggle HR dataset to predict employee turnover by ...
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 ...
Some offices really lose their charm when a new manager or management comes in! This guy shares how the mood of his workplace completely shifted when his company got bought by another organization.
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
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 ...