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Natural Language Processing in Python Preview

Natural Language Processing in Python

With Maven Analytics Liked by 1 user
Duration: 12h 36m Skill level: Intermediate Released: 10/5/2026

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Course details

Text is everywhere, and turning it into insight has become one of the most valuable skills in data science. From sentiment analysis to large language models, natural language processing powers many of the biggest recent advances in AI. In this course, Alice Zhao gives you a practical, hands-on overview of the NLP landscape in Python. Start with text preprocessing in pandas and spaCy, then vectorize your data with word counts and TF-IDF. Learn how to apply traditional machine learning for sentiment analysis, text classification, and topic modeling using scikit-learn. Then, move into modern approaches, including neural networks, deep learning, transformers, and LLMs with Hugging Face. Along the way, hands-on demos and assignments help you build real skills you can apply to your own text data.

This course was created by Maven Analytics. We are pleased to host this training in our library.

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Contents

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  • Practice while you learn 1 exercise file
  • Learn on the go Access on tablet and phone

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