IEEE Machine Learning Projects 2025 2026 - Employee Attrition Prediction Using Machine Learning | IEEE Machine Learning Projects | Datascience

Employee Attrition Prediction Using Machine Learning | IEEE Machine Learning Projects | Datascinece Website: http://www.ieeexpert.com/ Email: [email protected] ABSTRACT In the era of data science and big data analytics, people analytics help organizations and their human resources (HR) managers to reduce attrition by changing the way of attracting and retaining talent. In this context, employee attrition presents a critical problem and a big risk for organizations as it affects not only their productivity but also their planning continuity. In this context, the salient contributions of this research are as follows. Firstly, we propose a people analytics approach to predict employee attrition that shifts from a big data to a deep data context by focusing on data quality instead of its quantity. In fact, this deep data-driven approach is based on a mixed method to construct a relevant employee attrition model in order to identify key employee features influencing his/her attrition. In this method, we started thinking ‘big’ by collecting most of the common features from the literature (an exploratory research) then we tried thinking ‘deep’ by filtering and selecting the most important features using survey and feature selection algorithms (a quantitative method). Secondly, this attrition prediction approach is based on machine, deep and ensemble learning models and is experimented on a large-sized and a medium-sized simulated human resources datasets and then a real small-sized dataset from a total of 450 responses. Our approach achieves higher accuracy (0.96, 0.98 and 0.99 respectively) for the three datasets when compared previous solutions. Finally, while rewards and payments are generally considered as the most important keys to retention, our findings indicate that ‘business travel’, which is less common in the literature, is the leading motivator for employees and must be considered within HR policies to retention. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support Employee Attrition Prediction Using Machine Learning, Employee attrition prediction using machine learning, Employee attrition Prediction using machine learning GitHub, Predicting employee attrition using Machine Learning kaggle, Employee attrition prediction model Python, Employee attrition prediction kaggle, Employee-attrition Prediction GitHub, Ieee Machine learning projects 2021 2022, machine learning projects for final year 2021, ieee datascinece projects 2021 2022,Employee attrition prediction ppt #Attritionprediction #EmployeeAttrition #MachineLearning #Datascince