In this project I did Complete EDA, and Build a ML model that can accurately predict whether an Employee will be leave a company or not based on different factors.

Creating a model to predict employee retention, aiding HR in risk identification and retention strategies. Emphasizing accuracy, precision, recall, and F1 score. Encompasses data collection, preprocessing, feature engineering, model training, and evaluation stages.

The goal of this project is to analyze employee retention data to uncover insights that can help improve retention strategies. By identifying key factors that influence employee attrition, we aim to provide actionable recommendations for enhancing employee satisfaction and retention rates.