First thing is to come up with a naming convention for the csv column headers for the draw results and the one hot encoded features.

Next is to update all of the draw files, adding the features (that will take a few hours)

Then, constructing the code so that it is one atomic function that generates the week long pick list for each column of draw data.

Then the hard part, graphing and statistics incorporation. Going to learn from this attempt, recording picks vs results. Graphing and counting hits in the 20% validation data before the forecast executes.

The next week or two will be busy.