How to go from a fake to a real data/ml scientist?
I am a fake DS - I do some data wrangling in SQL, use sklearn library to just pull up a bunch of regressors() to create a shitty model that makes sense from a business standpoint and present the results. Is this really what ML is?
How do I become a real ML scientist? What skillsets are needed and how can I acquire those?
Insights from real data/ml scientists will be appreciated.