A comprehensive introduction to Natural Language Processing covering text preprocessing, text representation, classification, sentiment analysis, named entity recognition, language models, sequence-to-sequence architectures, transformers, and the ethical considerations of NLP — with hands-on Python examples using NLTK, spaCy, and Hugging Face Transformers.
Subscribe to unlock all 10 lessons
One monthly subscription gives you unlimited access to this course and every other course on LearningBro.
Try Free Exam
Take one free practice exam to see how you'd do — 10 questions, fully timed.