Richard Bailey's Projects
Contains research paper experiments and algorithmic implementation of the Class Separation Transformation (CST) novel ML technique
Machine learning logic for EasyAI web application that dynamically trains models based on the data provided by users. Broadens access to the power of machine learning
Fully functional and interactive website for UF's Theme Park Engineering and Design club. Contains user auth, admin privileges, multiple forms, and posting functionality (React)
Transfer learned CNN for hand written character classification
Red-black tree vs AVL tree implementations performance comparison. Statistical analysis performed on hate crime data to get useful insights and patterns
Optimized CST algorithm in time and space, also offering CUDA accelerated versions of CST and HCST
Trading algorithm implementation for IMC's Prosperity Challenge
Contains linear time series forecasting models to allow for a baseline to be provided to compare kernel and neural network forecasting methods against, as well as enhance understanding of time series analysis.
This repository houses code that utilizes the Simple and Fast Multimedia Library (SFML) that creates a fully functioning minesweeper game from scratch.
Lasso regression gradient descent vs analytical ridge regression
This repository includes a basic implementation of the pagerank algorithm of of which Google built their initial search engine. Does not include anything regarding to NLP (natural language processing) but does have the capacity to rank pages based off of their relative importance (number of times referenced) to other pages. This was the initial underlying data structure of Google's initial search engine and has been built off of and developed since their founding.
Lossless polytree graph compression algorithm
Programming language built off java compiler (lexer, parser, analyzer, interpreter, generator)
Config files for my GitHub profile.
Trading strategy coding framework with backtesting built in to attempt and validate strategies.
Take home coding assessment for Y-Intercept