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.
Enjoy our latest content about data, AI, and NLP for free.
What is natural language processing (NLP) and why is it important?
What is spaCy and why is it popular for NLP tasks?
What will be covered in this course about "Natural Language Processing with SpaCy"?
Can I apply the NLP techniques learned in this course to real-world text data?
Is there a certificate of completion for this course?
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