E-Commerce Revenue Prediction with Tree Ensemble Machine Learning Models

Tyler Kinkade

In this machine learning project, I compared the effectiveness of the random forest and gradient boosting tree ensemble models in predicting the probability of making a purchase on an e-commerce website based on users' interactions with the site. I also examined differences in feature importance between the two models.

See the project.ipynb Jupyter notebook for the full report.