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: One major issue influencing organizational success in all sectors of the world is high staff turnover. The intricate connections between organizational outcomes, turnover causes, and ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Developed an employee attrition prediction model using HR Analytics data(74,498 rows). Implemented XGBoost with optimized settings, achieving high accuracy. Presented findings with insights on model ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

ABSTRACT: This research paper delves into the tactical integration of Artificial Intelligence (AI) within the framework of Human Resource Management (HRM), with a specific focus on a case study that ...

A recent study published in npj Materials Degradation introduces a two-stage machine learning (ML) framework that predicts the degradation of protective coatings under various environmental conditions ...

Production-ready HR Analytics platform with cost-optimized ML to predict employee job changes. 6 ensemble models, SHAP explainability, interactive Streamlit dashboard, and FastAPI deployment. 79.7% ...