- 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.
Testing accuracy : 98.4 %