atrrition rate is a calculation of the number of individuals or items that vacate or move out of a larger, collective group that can be an organization over a specified time frame.

This project employs logistic regression and advanced analytics to predict employee attrition, enhancing organizational productivity. Leveraging machine learning, it develops a robust model using features like age, job satisfaction, and work environment. Through EDA, feature engineering, and grid search model tuning, it optimizes performance metric

Final Project Woz U Data Science Program

Application analyze and predict Employee TurnOver from the Company

Explore the IBM HR Dataset on Kaggle

Using Machine Learning and Data Analytics to predict the chances of Attrition of customers in a company.

This study uses machine learning to predict and understand employee attrition, aiming to provide actionable insights for proactive human resource strategies based on diverse employee attributes.