The objective of this repository is to develop a machine learning model to predict employee attrition in a company based on a provided dataset. We will work on a binary classification task, and the notebook includes preprocessing, exploratory data analysis (EDA), model selection, and evaluation.
The dataset contains various features related to employees in a software engineering company, and the target variable is "Attrition," indicating whether an employee has left the company (1) or is still with the company (0).