Machine Learning Natural Language Preprocessing with Python

This article aims to help data scientists and machine learning developers save precious time when faced with the challenges of preprocessing text data. It is based on a case study from the field of e-commerce and a presentation delivered during an ML meetup hosted by ShopGun and Nordic.ai on the 15th of February 2018 in Copenhagen. To make it easier to digest I've boiled it down to 5 helpful tips which I wish I'd known when I begun working on this project (each marked with a #). We will be using a tiny sample of our data and taking it through every recommended preprocessing step to really get a feel for what's going on. The way we preprocess data should usually be tailored to the problem that we're trying to solve.