IBM-Employee-Attrition-Analysis
Built a model that predicts the chances of Attrition of an employee working at IBM. The Dataset was developed by Data Scientists at IBM and is based on 35 different parameters.
Created a systematic ML pipeline along with EDA and Feature Engineering on an unbalanced dataset with 35 parameters.
Predictive Model: XGBoostingClassifier. Results: Precision - 84%