Master Pipelines with Sci-Kit Learn!

Photo by Quinten de Graaf on Unsplash

There is a wealth of information about ML methods and stats for the aspiring data scientist, but not nearly enough information as to how it should be organized. All too often I have seen data science projects presented in Jupyter Notebooks almost haphazardly. The lack of organization obscures the insight and can even hide disastrous methodological errors ( like a data leak ).