Natural Language Processing with SpaCy
Master NLP with spaCy! Learn spaCy architecture, container objects, processing pipelines, and models. Gain hands-on experience with tokenization, tagging, matching, and classification. Apply NLP techniques to real-world text data. Enhance your data science skills with spaCy. Register to get updates when this course is live!
- Master the Fundamentals of NLP and spaCy Architecture
- Hands-On Text Processing with spaCy
- Real-World NLP Applications with spaCy
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Upcoming Course Description
Master the Fundamentals of NLP and spaCy Architecture
Understand the fundamental concepts of natural language processing (NLP) and the spaCy library, including container objects, processing pipelines, and models, and how they are used in NLP applications.
Hands-On Text Processing with spaCy
Gain hands-on experience with spaCy to perform common NLP tasks, such as text tokenization, tagging, matching, and classification, using real-world text data, and develop the skills to effectively analyze and process text data for various applications.
Real-World NLP Applications with spaCy
Apply NLP techniques learned in the course to real-world scenarios, such as sentiment analysis, named entity recognition, and text classification, to extract insights from text data and solve practical problems using spaCy, and enhance your data science skill set with cutting-edge NLP capabilities.
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