When I train a machine learning model in a blog post, I edit out all the mistakes. I make it seem like I had the perfect data I needed from the very start, and I never add a useless feature. This time, I want to train a model with all the mistakes and fruitless efforts included. My goal here is to describe my process of creating a model rather than just presenting the final code.
