IBM-Employee-Attrition-Analysis-and-Prediction

Employee attrition is described as the natural process through which employees leave the employment and are not quickly replaced, such as by resignation for personal reasons or retirement. Employee turnover is recognised as a critical issue for all businesses these days, owing to its negative impact on workplace productivity and meeting corporate goals on time. To maintain a competitive edge over its competitors, a business should make it a priority to reduce staff turnover. As a result, for the better growth of a corporation, it is critical for company leaders to understand the primary reasons why their employees choose to quit the firm, and then take appropriate actions to enhance their organization's efficiency, general workflow, and business performance.

Context

Watson Analytics Sample Data

Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’.

Content

This the data about the employee on various factor influencing the attrition from the company. Predict the Attrition of an employee based on the various factor given

Acknowledgements

IBM Blog on employee attrition

Inspiration

Predict the Attrition of an employee based on the various factor given

About Dataset

Education

1. 'Below College'
2. 'College'
3. 'Bachelor'
4. 'Master'
5. 'Doctor'

EnvironmentSatisfaction

1. 'Low'
2. 'Medium'
3. 'High'
4. 'Very High'

JobInvolvement

1. 'Low'
2. 'Medium'
3. 'High'
4. 'Very High'

JobSatisfaction

1. 'Low'
2. 'Medium'
3. 'High'
4. 'Very High'

PerformanceRating

1. 'Low'
2. 'Good'
3. 'Excellent'
4. 'Outstanding'

RelationshipSatisfaction

1. 'Low'
2. 'Medium'
3. 'High'
4. 'Very High'

WorkLifeBalance

1. 'Bad'
2. 'Good'
3. 'Better'
4. 'Best'