Natural Language Processing with spaCy & Python - Course for Beginners

This course on Natural Language Processing with spaCy & Python aims to teach learners about NLP concepts and how to implement them using the spaCy library. By the end of the course, students will be able to install spaCy, work with linguistic annotations, perform Named Entity Recognition, utilize Word Vectors, understand Pipelines, use EntityRuler and Matcher, create Custom Components, and apply RegEx for various tasks including Financial Named Entity Recognition. The course employs a tutorial-based teaching method and is designed for beginners interested in learning about NLP and its practical applications using Python with spaCy.