Data science projects often fail not because of the math, but because of rigid, hard-coded software design. Learn how to break apart monolithic training scripts by centralizing configurations and decoupling data flow. We transform a messy experimental script into a professional, modular pipeline that handles data like a first-class citizen.
Oct 22, 2021