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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.

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Comparison of tree ensemble machine learning methods in predicting revenue outcome for an e-commerce site

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