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# Data version control

Update: 

* some conflict issue met with DVC. still using the manual version control. 

\---- 

DVC version control and daliy log

It is really a bad practice to run all experiments based on the Jupyter, since we need to modify many parameters and model file frequently. 

Different from applying version control on software development, DVC version control are more practial for the machine learning related project.

Questions:

1\. what's DVC?

2\. how to install DVC?

3\. how to use DVC?

4\. what's the good practice here?


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