I recently built a real-world Machine Learning project using Logistic Regression to help organizations proactively reduce employee attrition. 🔍 Problem Statement Unexpected employee attrition leads ...

The majority of genes in microbial communities remain uncharacterized. Here we develop a method to infer putative function for microbial proteins at scale by assessing community-wide multiomics data.

This project involves the development of an interactive Employee Attrition Analysis Dashboard using Power BI and Excel. The dashboard is designed to provide HR departments with insights into employee ...

In the rapidly evolving landscape of machine learning (ML) and artificial intelligence (AI), Python has emerged as a powerhouse, reigning supreme as one of the most favored programming languages. Its ...

Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to ...

Abstract: The term Attrition refers to the voluntary or involuntary discontinuation of employees in an organization. This paper focuses on discussing a systematic flow for predicting Attrition using ...

Abstract: The growing interest in machine learning among business leaders and decision makers demands that researchers explore its use within business organisations. One of the major issues facing ...

JEOPARDY!®, Wheel of Fortune® and trivia may sound more like activities for a game night with friends than a government training program. And that’s exactly the point. Government agencies are turning ...

The outcome of this study will present valuable insights to companies to minimize the impact of unplanned early attrition on the construction operations. The intention of this study is to build a ML ...