removing modeling and processing that used to be specific to mens bball,

merging the regular season stats and the tournament stats together and

did the same merge and aggregation for the detailed tournament data

working through aggregating the regular season data, deleted the data

columns that did not need to be aggregated were being aggregated. I

working on a new pre processing file with a much better approach to the

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

modeling a given teams tournament score 5 number summary (minus standard

made a new model on 300k epochs to predict just score distributions for

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

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

adding gitignore

saving MDetailedGamesOvrStats.csv from mens_preprocessnig.ipynb

adding the points allowed column to the aggregated metrics

aggregating and summarizing team stats in mens_pre_procssing so that we

copying the src from the github repository