DesireCourse Com Udemy - Data Science Natural Language Processing NLP in Python

1. 01 Natural Language Processing - What is it used for/001 Introduction and Outline.mp44.88MB
2. 01 Natural Language Processing - What is it used for/002 NLP Applications.mp410.9MB
3. 01 Natural Language Processing - What is it used for/003 Why is NLP hard.mp43.92MB
4. 01 Natural Language Processing - What is it used for/004 The Central Message of this Course.mp43.75MB
5. 01 Natural Language Processing - What is it used for/005 How to Succeed in this Course.mp48.78MB
6. 02 Build your own spam detector/006 Build your own spam detector - description of data.mp43.52MB
7. 02 Build your own spam detector/007 Build your own spam detector - the code.mp412.51MB
8. 02 Build your own spam detector/008 Other types of features.mp42.54MB
9. 03 Build your own sentiment analyzer/009 Description of Sentiment Analyzer.mp45.61MB
10. 03 Build your own sentiment analyzer/010 Sentiment Analysis in Python.mp443.54MB
11. 04 NLTK Exploration/011 NLTK Exploration POS Tagging.mp43.61MB
12. 04 NLTK Exploration/012 NLTK Exploration Stemming and Lemmatization.mp43.99MB
13. 04 NLTK Exploration/013 NLTK Exploration Named Entity Recognition.mp46.66MB
14. 05 Latent Semantic Analysis/014 Latent Semantic Analysis - What does it do.mp43.92MB
15. 05 Latent Semantic Analysis/015 PCA and SVD - The underlying math behind LSA.mp413.16MB
16. 05 Latent Semantic Analysis/016 Latent Semantic Analysis in Python.mp425.44MB
17. 06 Write your own article spinner/017 Article Spinning Introduction.mp44.65MB
18. 06 Write your own article spinner/018 Trigram Model.mp43.85MB
19. 06 Write your own article spinner/019 Writing an article spinner in Python.mp425.95MB
20. 07 How to learn more about NLP/020 What we didnt talk about.mp44.32MB
21. 08 Appendix/021 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
22. 08 Appendix/022 How to Code by Yourself part 1.mp424.53MB
23. 08 Appendix/023 How to Code by Yourself part 2.mp414.8MB