The "Natural Language Processing" course offers a comprehensive introduction to techniques for analyzing and understanding human language. Covering essential NLP concepts like text preprocessing, sentiment analysis, and machine translation, the course combines theoretical knowledge with hands-on practice using tools such as spaCy and NLTK. Students will gain skills to develop and deploy NLP models for real-world applications, including chatbots and language translators, preparing them for advanced roles in data science and artificial intelligence.
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Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Tue Jul 2024 | ||
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Total lectures | 43 | ||
Total quizzes | 0 | ||
Total duration | 07:26:03 Hours | ||
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Number of reviews | 29 | ||
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Short description | The "Natural Language Processing" course offers a comprehensive introduction to techniques for analyzing and understanding human language. Covering essential NLP concepts like text preprocessing, sentiment analysis, and machine translation, the course combines theoretical knowledge with hands-on practice using tools such as spaCy and NLTK. Students will gain skills to develop and deploy NLP models for real-world applications, including chatbots and language translators, preparing them for advanced roles in data science and artificial intelligence. | ||
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