Categorizing Rocket League Skill Shots with AI
Using the Keras library and Tensorflow platform to create a deep learning model that categorizes Rocket League skill shots based on game state data and inputs.
What are they talking about anyway?
I’ll admit it, I’m usually an uninformed voter. I’ve been recently exploring some of the applications of large language models, and I figured maybe I could use them to get a better understanding of some of my local politicians, resulting in this project.
Traveling? Planning a date? Need something to do?
Devpost Databricks GenAI World Cup Hackathon 2nd place winner! Using Databricks, Django, serpapi, and the Google Maps platform to create a concierge LLM application.
Mapping and Predicting Road Collisions in Seattle, WA
Using R to map and predict collision severity for vehicle collisions in Seattle, WA. Data for this project was obtained from the Seattle Open Data Portal.
Distribution Detectivework
Using python to find the distribution of experimental data and then using mathematical transformations to replicate data using random numbers generated from a uniform [0, 1) distribution.
Using machine learning to predict the outcomes of mirror matches in SSBU
Using machine learning to predict the winner of mirror matches in SSBU between myself and a friend of mine.
Observing clustering in the SSBU data set
Reducing dimensionality of data using singular value decomposition and embedding fighters into lower dimensional spaces to observe clustering, includes interactive plots.
Exploring the Spotify dataset
Examining trends in music published to Spotify and finding predictors of popularity.