Convert categorical variables (like Department ) into numerical values using One-Hot Encoding.
Improving survey scores in "Work-Life Balance" through flexible scheduling.
Lower monthly income is often the strongest predictor of leaving.
Better for capturing complex interactions between satisfaction and pay.
The dataset contains employee information and a binary target variable ( Attrition ) indicating whether an employee stayed or left the company. The "2018" and "Gold" designations usually refer to a cleaned, feature-engineered version of the standard IBM HR analytics data. 2. Core Features
