I want to see how simple of a model can accurately predict whether to bet the over or under for total point totals in NBA games
generate_weights_file.py : Creates a csv containing slope and y-intercept values. Both calculated through use of gradient descent to minimize the sum of squared residuals in a sheet of first half points - total points data. Also has weights determined using numpy polyfit with a degree of 1.
generate_error_report.py : Creates a csv containing the sum of squared residuals on a per-team basis for a given set of weights.
generate_preprocessed_data.py : Creates a collection of csv files (one per team) with the data from TeamStatistics.csv.