Attrition_cb01_gold_hd_2018 【UHD】

Environment Satisfaction, Job Satisfaction, Relationship Satisfaction, Work-Life Balance. 3. Exploratory Data Analysis (EDA)

The dataset contains employee information and a binary target variable ( Attrition ) indicating whether an employee stayed or left the company. The "2018" and "Gold" designations usually refer to a cleaned, feature-engineered version of the standard IBM HR analytics data. 2. Core Features Attrition_cb01_gold_HD_2018

Convert categorical variables (like Department ) into numerical values using One-Hot Encoding. The "2018" and "Gold" designations usually refer to

To analyze attrition effectively, focus on these common data categories: Age, Gender, Marital Status. To analyze attrition effectively, focus on these common

typically refers to a specific version of an HR Analytics dataset used in data science and machine learning to predict employee turnover.

Focus on Recall (finding all employees likely to leave) rather than just Accuracy. 5. Strategic Recommendations