The University of Washington Ice-Liquid Discriminator (UWILD) improves single particle phase classifications of hydrometeors within Southern Ocean clouds using machine learning
May 21 2021: Classifying Partical Phase with Random Forests
Recent posts
Understanding Hopfield Networks
December 4 2020: Understanding Hopfield Networks
Predicting the 2018-2019 NBA Regular Season using Monte Carlo Methods and Pythagorean Wins
November 26 2020: Monte Carlo Methods NBA Regular Season Predictions
Web Scraping EDGAR Insider Trading with Python’s Selenium
August 19 2020: Python Script for collecting Insider Trading transactions by company
Identifying cloud phase from SOCRATES data using a random forest classification model
May 26 2020: Poster made for as a undergraduate research assitant with the UW Atmospheric Sciences Department