I have made my submissions for the kaggle competition, i will run the

re trained the models on only tournament games and the ChalkSeedDiff

working on training neural networks and evaluating performance against

adding the opponent chalk seed so that we can make baseline predictions

split up the mens and womens data and beginning building a neural

making new super detailed games dataframe where each row is a game, and

adding all sorts of diff data to the team aggregated stats

went back and fixed an issue in pre processing, realized that I was not

got rid of unnessessary tournament and regular season split attributes

merging the regular season stats and the tournament stats together and