- Ensemble methods: Bagging & Boosting: https://medium.com/@sainikhilesh/difference-between-bagging-and-boosting-f996253acd22
- An article explaining gradient boosting: https://explained.ai/gradient-boosting/
- Original article by Jerome Friedman called Greedy Function Approximation: A Gradient Boosting Machine: https://statweb.stanford.edu/~jhf/ftp/trebst.pdf
- Ensemble Learning to Improve Machine Learning Results: https://blog.statsbot.co/ensemble-learning-d1dcd548e936
- Introduction to decision trees: https://medium.com/greyatom/decision-trees-a-simple-way-to-visualize-a-decision-dc506a403aeb
- Understanding Random Forest: https://towardsdatascience.com/understanding-random-forest-58381e0602d2
