Course Content
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Introduction
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1. NLP Basics
- What are NLP and NLTK?
- NLTK setup and overview
- Reading in text data
- Exploring the dataset
- What are regular expressions?
- Learning how to use regular expressions
- Regular expression replacements
- Machine learning pipeline
- Implementation: Removing punctuation
- Implementation: Tokenization
- Implementation: Removing stop words
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2. Supplemental Data Cleaning
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3. Vectorizing Raw Data
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