We'll start by defining natural language processing (NLP) and exploring its uses. We'll see how NLP is biased and how to proactively reduce bias. We'll understand the process of tackling NLP problems, including cleaning text data and converting it so that we build models with text data. We'll cover vectoriżers, hyperparameters, and pipelines. You'll come away with a full understanding of how to tackle an NLP problem. All of this will be d...