Model and Data Versioning: An Introduction to mlflow and DVC

Why do we need Versioning?

Tim is a data scientist, he works around analysing data and crunching numbers. Back in the days, he had smaller datasets to look into which were manageable in folders.

In the era, where applications of ML have become multifold, touching domains like Retail, Healthcare, Supply-Chain, etc. it brought with it a plethora of different complications with data and usecases involving experimentation. Now it becomes difficult for Tim to keep track …

applications back data data scientist datasets domains folders introduction numbers retail tim versioning