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Udemy - Data Science: Natural Language Processing (NLP) in Python

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Udemy - Data Science: Natural Language Processing (NLP) in Python (Size: 278.7 MB)
  001 Introduction and Outline.mp4 4.9 MB
  002 NLP Applications.mp4 10.9 MB
  003 Why is NLP hard.mp4 3.9 MB
  004 The Central Message of this Course.mp4 3.7 MB
  005 How to Succeed in this Course.mp4 8.8 MB
  006 Build your own spam detector - description of data.mp4 3.5 MB
  007 Build your own spam detector - the code.mp4 12.5 MB
  008 Other types of features.mp4 2.5 MB
  009 Description of Sentiment Analyzer.mp4 5.6 MB
  010 Sentiment Analysis in Python.mp4 43.5 MB
  011 NLTK Exploration POS Tagging.mp4 3.6 MB
  012 NLTK Exploration Stemming and Lemmatization.mp4 4 MB
  013 NLTK Exploration Named Entity Recognition.mp4 6.7 MB
  014 Latent Semantic Analysis - What does it do.mp4 3.9 MB
  015 PCA and SVD - The underlying math behind LSA.mp4 13.2 MB
  016 Latent Semantic Analysis in Python.mp4 25.4 MB
  017 Article Spinning Introduction.mp4 4.6 MB
  018 Trigram Model.mp4 3.9 MB
  019 Writing an article spinner in Python.mp4 26 MB
  020 What we didnt talk about.mp4 4.3 MB
  021 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 43.9 MB
  022 How to Code by Yourself part 1.mp4 24.5 MB
  023 How to Code by Yourself part 2.mp4 14.8 MB
  [DesireCourse.Com].txt 716.8 B
  [DesireCourse.Com].url 0 B
  ▲ 25 total files

Description


Data Science: Natural Language Processing (NLP) in Python

Practical Applications of NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.

For More Courses Visit: https://desirecourse.com

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