Hi everyone, one of our writers wrote an article on FloydHub blog. This article is an ensemble of tips and tricks collected from the industry experts (some personal ones too), code walk-throughs and many things more but all heavily focused around the data part – the fuel that drives machine learning projects.

Did we miss anything? Is there something you would like to see in-depth in the next articles?

I hope you enjoy it!