A complete Python guide to Natural Language Processing to build spam filters, topic classifiers, and sentiment analyzers
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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.
Core NLP concepts such as tokenization, stemming, and stop word removal.
Use open source libraries such as NLTK, scikit-learn, and spaCy to perform routine NLP tasks.
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.
This comprehensive Hands-on 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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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.
Professional Course
Investment around $124.99
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Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
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