Entered Kaggle Competition to use machine learning in predicting the march madness 2023 season results.

Will plan to expand to other sports (e.g. baseball, football) to test accuracies. Need to do more research on important features that indicate accuracy in correct final scores.

Misc:

This For Loop should be able to strip the unnecessary seed info via regex

for x in range(len(tourney_input)): idx = (tourney_input['Season'][x], tourney_input['Team1'][x]) try: seed = seed_dict.loc[idx].values[0] except KeyError: pass

stripped_seed = re.search('\w(\d+)\w?', seed)
if stripped_seed:
    found = stripped_seed.group(1)

team1seeds.append(found)