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Codecademy

Apply Natural Language Processing with Python

via Codecademy Path

Overview

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Learn Python for Natural Language Processing, the field behind chatbots, search engines, and autocorrect. Includes **Machine Learning**, **Data Science**, **Python**, **Regular Expression**, **NLTK**, **spaCy**, **TensorFlow**, **scikit-learn**, **Genism**, and more.

Syllabus

  • Welcome to the Natural Language Processing Skill Path
    • Your NLP journey starts here.
  • Getting Started with Natural Language Processing
    • Delve into the exciting world of Natural Language Processing (NLP) with this overview of major topics in the field.
  • Text Preprocessing
    • Get a taste of regular expressions (regex) and find out how to prepare your text data for most NLP tasks.
  • Language Parsing
    • Apply regular expressions (regex) and other natural language parsing tactics to find meaning and insights in the texts you read every day.
  • Language Quantification
    • Learn different ways to represent language numerically, including bag-of-words, tf-idf, and word embeddings.
  • Text Generation
    • Learn about seq2seq and LSTM neural networks commonly used in NLP work and how to implement them for machine translation.
  • NLP Portfolio Project
    • You've learned a lot and it's time to show off your skills. Analyze text message data any way you like in this portfolio project.
  • Next Steps
    • What's next in your NLP journey?

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