Last Wednesday, akquinet tech@spree had the pleasure to host a technology evening of the Software Initiative Berlin Brandenburg (SIBB). The event was devoted to all things data and machine learning and comprised two talks, plus plenty of discussions (and pizza) afterwards.
Data is ubiquitous these days, and being generated at an ever-increasing rate. However, left untouched and unexplored, it is of course of little use. This post will be the first in a series of tutorial articles exploring the process of moving from raw data to a predictive model. We’ll walk through the basic steps involved, and talk about some of the common pitfalls along the way.