Exploring Scientific Collaboration Networks with Graph Theory
I explored collaboration networks using graph theory—dense work, but it shaped how I think about cliques, communities, and embeddings in data science today.
I explored collaboration networks using graph theory—dense work, but it shaped how I think about cliques, communities, and embeddings in data science today.
My first machine learning project was building KNN and k-fold validation from scratch in MATLAB — no libraries, just math and determination. It taught me lessons I still use today.
A solo deep learning project from my MS in Statistics, classifying colorectal histology images into eight tissue types with 91.5% accuracy — rough draft posted, with polish to follow.
This quick-turn project explores how decision trees and random forests can be used to classify marketing leads and uncover what really drives conversions. Completed in under an hour as part…