Employee Attrition Analysis Using Machine Learning

The production, morale and financial health of an organization can all be significantly impacted by staff attrition or the voluntary withdrawal of employees. An employee attrition study is a crucial step that enables organizations to identify the cause of the attrition and resolve the issue in order for them to grasp and successfully manage this challenge. In order to perform the research, extensive data on employee exits, job satisfaction, and other factors are initially acquired. Data preprocessing and cleaning ensure that the data are accurate and suitable for analysis. It is possible to identify patterns and trends in attrition using statistical analysis and data visualization tools, and discover how turnover is connected to factors like income, work-life balance, performance, and a variety of other factors. In this project, we experiment with numerous algorithms in order to determine which one would best match the model. We are able to comprehend the top most important factors after selecting the ideal algorithm. We will examine employee attrition across a number of businesses in this article to determine its causes, which will assist the organization understand and manage a challenging position and resolve the issue.