Employee attrition is described as the natural process through which employees leave their employment and are not quickly replaced, such as by resignation for personal reasons or retirement. Employee turnover is recognized 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
About Dataset
I) Department
1. Sales
2. Research and Development
3. Human Resources
II) Education Field
1. Life Sciences
2. Medical
3. Marketing
4. Technical Degree
5. Human Resource
6. Other
III) Marital Status
1. Single
2. Married
3. Divorced
IV) Job Satisfaction
V) Monthly Income
VI) Work Life Balance
Perform the Following Functions and Find out:
a) Predict the Attrition of an employee based on the various factors mentioned above.
b) Prepare a histogram of the Age Distribution of Employees.
c) Prepare a plot presenting the Attrition Breakdown of Employees
d) Perform Logistic Regression of the Data
e) Perform metrics for the accuracy score and classification report