Finding meaning in text, an experiment in...

Problem For an assignment in the University of British Columbia's CPSC330 course in Applied Machine Learning, we were tasked with categorizing titles pulled from a sample of Food.com recipes. The goal was simple, use a subset of the banks 180,000+ recipes to find categories of recipes purely based off their titles. Achieving said goal was the real challenge, with so many different considerations made in the modeling process due to the nature of the data - text. The data From our sample of recipe