Capture the dependencies in yml file

[pawelbielski]

For the code reproducibility it is important that all potential users can make your code running with as little extra work as possible. For Data Science projects it is normally done with yml file, which can describe dependencies in both anaconda, and pip (see example)

• [x] Export the yml file and include it in the main directory of the project

• [x] Add a short description on how to use it in the Readme.md

• [x] Test it by creating a new environment from yml file and running all jupyter notebooks

[pawelbielski]

Everything works on my side as well. Perfect!