After I had completed the PGBABI in Great Lakes, i had practicing the ML concepts by redoing kaggle kernels on various areas (Regression techniques)
Many of the kaggle kernels are maintained over github and i was not able to comfortably use github due to lack of hands on knowledge, though i have used Rational ClearCase many years back.
When i joined the Open Machine Learning course @ https://mlcourse.ai/, i thought i should learn github as the assignments are maintained in github.
Just to give myself an easy headstart, i took up an udemy course Git by Example by Jose Salvatierra and then ran through some of the articles to reinforce my learning.
https://medium.com/@stiipe/git-commands-that-every-software-tester-should-know-59c74cfd736f
https://www.infoq.com/news/2017/07/github-testers
https://www.future-processing.pl/blog/testingcup/
https://www.atlassian.com/git/tutorials/setting-up-a-repository
http://rogerdudler.github.io/git-guide/
Recommend all testers to learn a version control system and maintain your personal portfolio projects under version control(local/remote)



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