readme update

Added readme

Headers to files

linear brought down but not as effective as random forest

random forest reduces the root mean square error by 25 percent

some commits idk why

removing super expensive properties to have an even distribution

first end to end iteration of the ML model:

sad lyf - cant print feature names post one hot encoding

ml pipeline laid out

ml model 0.0 - needs dropping first column after one hot encoding, analysis of coefficients, integrating economic and crime data of zip codes, and excluding more outliers by filtering out properties above 2 mil

filtered outliers, now I can get started on modeling

removing outliers from properties data

data imputation begins

before we begin some ML