DESCRIPTION
IBM is an American MNC operating in around 170 countries with major business vertical as computing, software, and hardware. Attrition is a major risk to service-providing organizations where trained and experienced people are the assets of the company. The organization would like to identify the factors which influence the attrition of employees.
Data Dictionary
Age: Age of employee Attrition: Employee attrition status Department: Department of work DistanceFromHome Education: 1-Below College; 2- College; 3-Bachelor; 4-Master; 5-Doctor; EducationField EnvironmentSatisfaction: 1-Low; 2-Medium; 3-High; 4-Very High; JobSatisfaction: 1-Low; 2-Medium; 3-High; 4-Very High; MaritalStatus MonthlyIncome NumCompaniesWorked: Number of companies worked prior to IBM WorkLifeBalance: 1-Bad; 2-Good; 3-Better; 4-Best; YearsAtCompany: Current years of service in IBM Analysis Task:
- Import attrition dataset and import libraries such as pandas, matplotlib.pyplot, numpy, and seaborn.
- Exploratory data analysis
Find the age distribution of employees in IBM Explore attrition by age Explore data for Left employees Find out the distribution of employees by the education field Give a bar chart for the number of married and unmarried employees
- Build up a logistic regression model to predict which employees are likely to attrite.