Density-based Spatial Clustering of Applications with Noise (DBSCAN)
Binary Tree Learners
Simple Cross-Validation
Random Forest Ensemble Learning
Grid Search Cross-Validation for Metaparameter Tuning
AdaBoost Ensemble Learning with a Linear Halfspaces Perceptron Algorithm (Fall 2022) [Report][Github]
Project for Introduction to Machine Learning
Written in Python
Machine learning methods used include:
Linear Halfspaces weak learners
Perceptron Algorithms
Ensemble Learning via AdaBoost algorithm
Nebular Chewing Gum: A Modeled Radiation Field Search for Bubble Structures in the Greater Orion Nebula Region (School Year 2021-2022) [Report][iPoster]
First-year MSc research project
Used modeled radiation field code to identify regions of the Greater Orion Nebula where radiative input is not dominated by the Trapezium
Studied equivalent regions in Herschel 70/160 micron and SOFIA CII data
Identified a new fossil bubble structure around star HD 37150