Real Estate Data Science Project | Find Fixer Uppers using NLP in Python | Part 3

In this video, I'm going to show you how you can train an NLP real estate model to create a supervised model that will help us to detect whether a property has a description that means it's a distressed property so it needs work, or it's turnkey ready so it's not distressed. We're going to use ml flow to be able to help us track our models as well and lime for explainability