[D] How to build a Portfolio as a Machine Learning/Data Science Engineer in industry ? • r/MachineLearning

I'd like to add a bit to this discussion, if I may... Since ML people come from many places, but chiefly statistics (incl. The former prefer "stream-of-consciousness" work, where they get ideas and test them, play around for a bit until they get something that works well for them... and then keep the notebook in that format, usually due to lack of time/resources for this "finished" project. This generally makes it hard for other people to easily wrap their heads around what you've done by themselves (ie without a walk-through). This philosophy is more or less the basis of the R language and Jupyter-style notebooks: easy for experimentation and results are immediate. I use this approach when exploring new tasks.