My Work

For this project I scraped English Premier League data from football-data.co.uk. I then used pandas to extract features from the data and train a deep learning model. So far I have been able to get above 60% accuracy, more than 5% better than the bookmakers odds. I plan on updating this as the season progresses to see how profitable the model is.

PyChess is a chess game in Python I made which allows players to play against an AI or each other. I created this to learn more about the algorithms involved in these kind of games. The AI uses a Minimax algorithm to get the best move, I also used alpha-beta pruning to improve performance. The evaluation function uses both material-values and piece-square-tables to get the best move, this gives the AI a more human feel. For the GUI I used PyGame.

This is a project I created to help a friend who was transferring his record collection from vinyl to hard-disk. It first reads headers from a csv file to create search parameters and confirms these with the user. Then it uses OAuth to create a connection to Discogs API. It then uses these parameters to search the Discogs database for corresponding covers and saves these.

This is simple application to monitor system device temperatures on Linux systems. I used PyQt5 for the GUI. It allows users to log temperatures to a csv file, enable/disable devices and set the refresh rate. This simple applicatiton could easily be built upon to throttle fan controls, monitor temps from an externel source, etc.