Attrition_Prediction

Employee turnover (attrition) is a major cost to an organization, and predicting turnover is at the forefront of needs of Human Resources (HR) in many organizations. Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with advancements in machine learning (ML), we can now get both better predictive performance and better explanations of what critical features are linked to employee attrition. In this post, we’ll use two cutting edge techniques.

Data-Analysis

The objective is to collect financials from the CDS table in N-Q, and N-CSR reports of SEC/EDGAR database servers.

Data-Visualization-Python