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Apply Natural Language Processing with Python

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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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