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NLP in Python - Natural Language Processing

NLP in Python - Natural Language Processing

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Feature Engineering | Natural Language Processing with Python and NLTK

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Feature Engineering | Natural Language Processing with Python and NLTK

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NLP in Python - Natural Language Processing

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  1. 1 Introduction to NLP | Natural Language Processing with Python and NLTK
  2. 2 NLTK - Introduction | Natural Language Processing with Python and NLTK
  3. 3 Structured vs Unstructured data | Natural Language Processing with Python and NLTK
  4. 4 Reading Text Data | Natural Language Processing with Python and NLTK
  5. 5 Exploring the data | Natural Language Processing with Python and NLTK
  6. 6 NLP Pipeline for Text data | Natural Language Processing with Python and NLTK
  7. 7 Removing Punctuation | Pre-processing | Natural Language Processing with Python and NLTK
  8. 8 Tokenization | Natural Language Processing with Python and NLTK
  9. 9 Removing stop words | Natural Language Processing with Python and NLTK
  10. 10 Stemming | Natural Language Processing with Python and NLTK
  11. 11 Porter Stemmer in Python | Natural Language Processing with Python and NLTK
  12. 12 Lemmatization in Python | Natural Language Processing with Python and NLTK
  13. 13 WordNet Lemmatizer in NLTK python | Natural Language Processing with Python and NLTK
  14. 14 Vectorization in Python | Natural Language Processing with Python and NLTK
  15. 15 Count Vectorization in Python | CountVectorizer | Natural Language Processing with Python and NLTK
  16. 16 N-Grams Natural Language Processing | N-Gram NLP | Natural Language Processing with Python and NLTK
  17. 17 TF-IDF Vectorizer Python | Natural Language Processing with Python and NLTK
  18. 18 Feature Engineering | Natural Language Processing with Python and NLTK
  19. 19 Feature Engineering - Feature Creation | Natural Language Processing with Python and NLTK
  20. 20 Feature Evaluation | Natural Language Processing with Python and NLTK
  21. 21 Power Transformations | Box-Cox Transformation | Tukey Transformation
  22. 22 Evaluation Metrics: Accuracy, Precision and Recall | NLP NLTK

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