In a continuation of capturing lessons learned while getting my Master’s in Data Science from Boston University, I wanted to focus on how to create a real world project that is repeatable. Most machine learning projects don’t fail because the model is bad. They fail because the project can’t be reproduced, automated, or safely evolved... Continue Reading →