Description
This course provides an introduction to Natural Language Processing (NLP), covering essential techniques and tools for processing and analyzing human language data. Students will learn about text processing, linguistic structures, and machine learning algorithms used in NLP tasks such as classification, named entity recognition, and sentiment analysis.

Course Summary
The course focuses on foundational concepts and practical applications of NLP, using popular programming languages like Python and tools such as NLTK and TensorFlow. By the end of the course, students will have hands-on experience in building and deploying NLP models for real-world problems.



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