Objective : Predicating Employee Attrition using Machine Learning - SmartPracticeschool/llSPS-INT-3838-Employee-Attrition-Prediction GitHub Wiki

Objective : Predicting Employee Attrition Using Machine Learning

Data Description¶ The dataset consists of 25491 obseravtions and 10 variables. Each row in dataset represents an employee; each column contains employee attributes:

satisfaction_level (0–1) last_evaluation (Time since last evaluation in years) number_projects (Number of projects completed while at work) average_monthly_hours (Average monthly hours at workplace) time_spend_company (Time spent at the company in years) Work_accident (Whether the employee had a workplace accident) left (Whether the employee left the workplace or not (1 or 0)) promotion_last_5years (Whether the employee was promoted in the last five years) sales (Department in which they work for) salary (Relative level of salary).