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

working through aggregating the regular season data, deleted the data

made the region column reflext the actual string that represents the

making new columns Seed_Num and Region_Num so that the model can train

built a neural network that was trained on 1 million epochs to predict

adding in the mean of statistics into the aggregated summary dataset.

saving MDetailedGamesOvrStats.csv from mens_preprocessnig.ipynb

moving all downloaded csv data into data directory