Employee-Turnover-Prediction

• Identified variables and features to predict turnover within an organisation.
• Used yellowbrick library for visualisation and evaluating the model.
• Built decision trees and random forests using sklearn library.
• Interactively tuned hyperparameters using Jupyters interactive widgets to improve classification accuracy of the model.
• Interpreted these models using relevant feature importance scores.

RESULTS

Testing accuracy : 98.4 %