Hands-On NLP Mastery Through an Engaging ML Test
The step-by-step notebook layout and progressively tougher challenges were especially helpful because they let me see, in real time, how each preprocessing or modeling tweak moved the accuracy needle. Working through those exercises clarified tokenization, vectorization, and feature-engineering trade-offs, so I now feel far more confident tackling NLP problems on my own.