Completed an interactive course track on Datacamp titled "

Machine Learning with Tree-Based Models in Python" where I learned how to use Python to train decision trees and tree-based models with the user-friendly scikit-learn machine learning library, understand the advantages and shortcomings of trees and demonstrate how ensembling can alleviate these shortcomings, all while practising on real-world datasets. Finally, I also understand how to tune the most influential hyperparameters in order to get the most out of your models.