A collection of research papers on decision, classification and regression trees with implementations.

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.

(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

using machine-learning to detecte instruction

BLOCKSET: Efficient out of core tree ensemble inference

counterfactual explanations for XGBoost and tree ensemble models - counterfactual reasoning - model interpretability

Decision Tree Classifier and Boosted Random Forest

Data Mining at UCSB with Professor Sang Oh (Fall 2016)