Learn to build expert NLP applications and machine learning projects using NLTK and Python library- scikit-learn
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Build end-to-end natural language processing solutions, ranging from getting data for your model to presenting its results
Learn core NLP concepts such as tokenization, stemming, and stop word removal
Classify emails as spam or not-spam using basic NLP techniques and simple machine learning models
Put documents in their relevant topics using techniques such as TF-IDF, SVMs, and LDAs
Explore corpus management using internal and external corpora
This comprehensive Natural Language Processing (NLP) with NLTK and Scikit-learn curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
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What you need before starting this Natural Language Processing (NLP) with NLTK and Scikit-learn course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Packt Publishing
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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