Nowadays, Employee Attrition Prediction becomes a major problem in organizations. Employee Attrition is a big issue for organizations especially when trained, technical and key employees leave for a better opportunity from the organization. This results in financial loss to replace a trained employee. Therefore, we use the current and past employee data to analyze the data for employee attrition. For the prevention of employee attrition, we applied a well-known classification method named the Random Forest method on Kaggle’s data set. For this, we implement a feature selection method on the data and analyze the results to prevent employee attrition. This is helpful to companies to predict employee attrition, and also helpful to their economic growth by reducing their human resource cost.