[FreeTutorials Us] data-science-natural-language-processing-in-python


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Torrent File Content (25 files)


[FreeTutorials.Us] data-science-natural-language-processing-in-python
    01 Natural Language Processing - What is it used for
          001 Introduction and Outline.mp4 -
4.88 MB

          002 NLP Applications.mp4 -
10.9 MB

          003 Why is NLP hard.mp4 -
3.92 MB

          004 The Central Message of this Course.mp4 -
3.75 MB

          005 How to Succeed in this Course.mp4 -
8.78 MB

    02 Build your own spam detector
          006 Build your own spam detector - description of data.mp4 -
3.52 MB

          007 Build your own spam detector - the code.mp4 -
12.51 MB

          008 Other types of features.mp4 -
2.54 MB

    03 Build your own sentiment analyzer
          009 Description of Sentiment Analyzer.mp4 -
5.61 MB

          010 Sentiment Analysis in Python.mp4 -
43.54 MB

    04 NLTK Exploration
          011 NLTK Exploration POS Tagging.mp4 -
3.61 MB

          012 NLTK Exploration Stemming and Lemmatization.mp4 -
3.99 MB

          013 NLTK Exploration Named Entity Recognition.mp4 -
6.66 MB

    05 Latent Semantic Analysis
          014 Latent Semantic Analysis - What does it do.mp4 -
3.92 MB

          015 PCA and SVD - The underlying math behind LSA.mp4 -
13.16 MB

          016 Latent Semantic Analysis in Python.mp4 -
25.44 MB

    06 Write your own article spinner
          017 Article Spinning Introduction.mp4 -
4.65 MB

          018 Trigram Model.mp4 -
3.85 MB

          019 Writing an article spinner in Python.mp4 -
25.95 MB

    07 How to learn more about NLP
          020 What we didnt talk about.mp4 -
4.32 MB

    08 Appendix
          021 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 -
43.92 MB

          022 How to Code by Yourself part 1.mp4 -
24.53 MB

          023 How to Code by Yourself part 2.mp4 -
14.8 MB

     [FreeTutorials.Us].txt -
75 bytes

     Freetutorials.Us.url -
119 bytes



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