Archives for version control
Version control frameworks allow developers to look at the records, identify differences, and merge changes wherever necessary.
The post Version Control For ML Models, Explained appeared first on Analytics India Magazine.
Version control systems are the process management systems that keep tracks of every individual modification to the code by every contributor. It helps the developers and the software teams to manage the source code over time. Version control systems are also known as Source Code Management (SCM) tools or Revision Control System (RCS). In this…
The post Top 6 Open-Source Version Control Tools For Data appeared first on Analytics India Magazine.
Popularly considered to be the exclusive domain of software developers, Git – the most widely used modern version control system in the world – is increasingly being used by data scientists today. This may strike some people as odd – how can this platform add value to the daily work of a data scientist, commonly…
The post Introduction To GitHub For Aspiring Data Scientists appeared first on Analytics India Magazine.
For data-driven organisations today, collaboration in data science projects is key to staying ahead of the pack. However, version control in data science projects are not straightforward and need to be implemented with best practices for effortless collaboration. Jupyter Notebook Under Version Control Version control of data science projects on Jupyter Notebooks are tedious. That’s…
The post Best Practices For Version Control In Data Science Projects appeared first on Analytics India Magazine.