GitHub repository: waibazen/employee-churn-analysis-prediction
Primary language: Jupyter Notebook
Description: Understanding why and when employees are most likely to leave can lead to actions to improve employee retention as well as possibly planning new hiring in advance.I'll be using both descriptive and inferential statistical approach to understand the drivers of churn happening within the company which will result in core variables attributed to churn will be highlighted . This capstone project would fall under what is commonly known as "HR Analytics", "People Analytics".