Hello Quantopian community,
I will be starting to alter a model I have built using machine learning here in a month or two when I have down time between classes. Anyhow, I have a quick question on how this all works. I understand and can learn most of the code for scikit learn, but I was wondering how, after you have back tested and an algorithm was created, how do you implement that specific algorithm generated in a forward paper test on live data?
Thank you in advance guys.