The flashy machine learning models get all the attention, but they won’t get you anywhere without a good data set. Even a complicated model will produce bad output if you give it bad input. So in their Tech Talk, data engineers Frances Dreyer and Andre Marques break a lance for a clean data set. There are easy ways to give your data a spring cleaning, and there are hard ways to do it. In this blog, Frances and Andre explain all about it.