In this comprehensive Python NLP course, you’ll gain deep insights into Natural Language Processing (NLP) and its applications. You’ll master Python’s NLTK and Spacy libraries, and learn parsing, tokenization, Part-of-Speech tagging, and named entity recognition, integral for building smart linguistic systems. The curriculum also covers advanced topics like text classification using Scikit-Learn, understanding TF-IDF and regular expressions, and leveraging word2vec. You’ll also delve into sentiment analysis, a vital aspect of modern AI applications. This course equips you with the technical know-how to decode human language intricacies and build intelligent systems.