Predicting Employee Attrition Uncover the factors that cause employees to leave the organization and explore important questions such as ‘compare average monthly income by education and attrition’ or ‘is distance from home a case for attrition’? Build classification models to predict which employee is likely to churn and help the business to devise policies and attract back the right talent. Dataset URL: https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset
• This Project is based on IBM dataset consisting of employee attrition & their retention. • Carried out Data Preprocessing & EDA to recognized various patterns in the data. • As it is binary classification dataset, for prediction implemented classification Algorithms. • Resolved class Imbalance problem via SMOTE Upsampling Technique. • Achieved the highest accuracy of 89.1% using Logistic Regression.