From 88fa8fc9ad482ddde23f769dc3549af1640418ae Mon Sep 17 00:00:00 2001 From: Dmitry Petrov Date: Wed, 3 May 2017 00:51:24 -0700 Subject: [PATCH] README test --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index fdd935e02..3f3c8a5c1 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,6 @@ # Data version control or DVC DVC streamlines your git code, your data (S3 and GCP) and dependencies to a single reproducible environment. - # 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.