If you are just starting out with applied machine learning I would focus heavily on understanding bias and variance as it will really help you succeed. It's I think what (largely) separates the sklearn kiddies from the pros.
I think the comment was a word play on "script kiddie" (ppl w/o real "security chops" but who know enough to run an exploit "script" of some sort).