This project serves as the culmination of my Data Science for Economics class, focusing on predictive analytics for employee burnout. Utilizing Random Forest, k-Nearest Neighbors, as well as linear regression techniques including ML and Lasso Regression, I compared various models to forecast burnout levels.
Visualize the project here: https://ntyblco.github.io/ML_Prediction_RF_KNN/