📌 Table of Contents

• Overview
• Dataset
• Objectives
• Dataset Features

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Overview

This project aims to predict employee attrition using machine learning techniques. By analyzing various employee-related factors, I build a predictive model to help organizations identify potential attrition risks and take proactive measures

• For a full overview, you can download the report here.

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Dataset

The dataset is sourced from Kaggle and includes various features related to employee demographics, work experience, and job satisfaction.

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Objectives

• Perform exploratory data analysis (EDA) to understand key attrition drivers.
• Train and evaluate machine learning models for attrition prediction.
• Provide insights into factors contributing to employee attrition.

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📊 Dataset Features

Feature	Description
Employee ID	A unique identifier assigned to each employee.
Age	The age of the employee, ranging from 18 to 60 years.
Gender	The gender of the employee.
Years at Company	The number of years the employee has been working at the company.
Monthly Income	The monthly salary of the employee, in dollars.
Job Role	The department or role the employee works in, encoded into categories such as Finance, Healthcare, Technology, Education, and Media.
Work-Life Balance	The employee's perceived balance between work and personal life: (Poor, Below Average, Good, Excellent).
Job Satisfaction	The employee's satisfaction with their job: (Very Low, Low, Medium, High).
Performance Rating	The employee's performance rating: (Low, Below Average, Average, High).
Number of Promotions	The total number of promotions the employee has received.
Overtime	Whether the employee works overtime: (Yes or No).
Distance from Home	The distance between the employee's home and workplace, in miles.
Education Level	The highest education level attained by the employee: (High School, Associate Degree, Bachelor’s Degree, Master’s Degree, PhD).
Marital Status	The marital status of the employee: (Divorced, Married, Single).
Number of Dependents	The number of individuals financially dependent on the employee.
Job Level	The job level of the employee: (Entry, Mid, Senior).
Company Size	The size of the company the employee works for: (Small, Medium, Large).
Company Tenure	The total number of years the employee has been working in the industry.
Remote Work	Whether the employee works remotely: (Yes or No).
Leadership Opportunities	Whether the employee has leadership opportunities: (Yes or No).
Innovation Opportunities	Whether the employee has opportunities for innovation: (Yes or No).
Company Reputation	The employee's perception of the company's reputation: (Very Poor, Poor, Good, Excellent).
Employee Recognition	The level of recognition the employee receives: (Very Low, Low, Medium, High).

🎯 Target Feature

Target Feature	Description
Attrition	Whether the employee has left the company, encoded as 0 (Stayed) and 1 (Left).