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Dmitry Petrov
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# Data version control or DVC # Data version control or DVC
DVC streamlines your git code, your data (S3 and GCP) and dependencies to a single reproducible environment. DVC streamlines your git code, your data (S3 and GCP) and dependencies to a single reproducible environment.
# Introduction # Introduction
It is hardly possible in real life to develop a good machine learning model in a single pass. ML modeling is an iterative process and it is extremely important to keep track of your steps, dependencies between the steps, dependencies between your code and data files and all code running arguments. This becomes even more important and complicated in a team environment where data scientists’ collaboration takes a serious amount of the team’s effort. It is hardly possible in real life to develop a good machine learning model in a single pass. ML modeling is an iterative process and it is extremely important to keep track of your steps, dependencies between the steps, dependencies between your code and data files and all code running arguments. This becomes even more important and complicated in a team environment where data scientists’ collaboration takes a serious amount of the team’s effort.