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

  • 收录时间:2019-03-06 06:43:46
  • 文件大小:2GB
  • 下载次数:67
  • 最近下载:2020-11-19 14:56:59
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文件列表

  1. 10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 9. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 139MB
  3. 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  4. 6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 78MB
  5. 4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 78MB
  6. 9. Machine Learning Basics Review/2. (Review) What is Classification.mp4 71MB
  7. 9. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 69MB
  8. 9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 54MB
  9. 9. Machine Learning Basics Review/4. (Review) What is Regression.mp4 50MB
  10. 9. Machine Learning Basics Review/4. (Review) What is Regression.vtt 50MB
  11. 9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 45MB
  12. 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  13. 4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 44MB
  14. 9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 41MB
  15. 3. Build your own spam detector/4. Naive Bayes Concepts.mp4 40MB
  16. 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
  17. 9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4 38MB
  18. 10. Appendix/11. What order should I take your courses in (part 2).vtt 38MB
  19. 10. Appendix/11. What order should I take your courses in (part 2).mp4 38MB
  20. 7. Write your own article spinner/2. More about Language Models.mp4 37MB
  21. 3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.vtt 31MB
  22. 3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 31MB
  23. 10. Appendix/10. What order should I take your courses in (part 1).mp4 29MB
  24. 10. Appendix/10. What order should I take your courses in (part 1).vtt 29MB
  25. 3. Build your own spam detector/5. AdaBoost Concepts.mp4 27MB
  26. 7. Write your own article spinner/5. Writing an article spinner in Python.mp4 26MB
  27. 6. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4 25MB
  28. 6. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.vtt 25MB
  29. 9. Machine Learning Basics Review/11. (Review) Section Summary.mp4 25MB
  30. 9. Machine Learning Basics Review/8. (Review) All Data is the Same.mp4 25MB
  31. 10. Appendix/4. How to Code by Yourself (part 1).mp4 25MB
  32. 7. Write your own article spinner/6. Article Spinner Extension Exercises.mp4 24MB
  33. 9. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.mp4 23MB
  34. 7. Write your own article spinner/4. Precode Exercises.mp4 20MB
  35. 6. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4 17MB
  36. 10. Appendix/5. How to Code by Yourself (part 2).mp4 15MB
  37. 3. Build your own spam detector/10. SMS Spam in Code.mp4 14MB
  38. 2. Course Preparation/3. Do you need a review of machine learning.mp4 13MB
  39. 10. Appendix/6. How to Succeed in this Course (Long Version).mp4 13MB
  40. 4. Build your own sentiment analyzer/2. Logistic Regression Review.mp4 12MB
  41. 6. Latent Semantic Analysis/5. Extending LSA.mp4 11MB
  42. 3. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4 11MB
  43. 4. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4 11MB
  44. 3. Build your own spam detector/8. What is a Vector (Remedial #2).mp4 9MB
  45. 5. NLTK Exploration/4. Want more NLTK.mp4 8MB
  46. 10. Appendix/9. Python 2 vs Python 3.mp4 8MB
  47. 4. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4 8MB
  48. 1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp4 7MB
  49. 5. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4 7MB
  50. 3. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4 7MB
  51. 1. Natural Language Processing - What is it used for/2. NLP Applications.mp4 6MB
  52. 3. Build your own spam detector/9. SMS Spam Example.mp4 6MB
  53. 10. Appendix/1. What is the Appendix.mp4 5MB
  54. 4. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4 5MB
  55. 4. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4 5MB
  56. 7. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4 5MB
  57. 2. Course Preparation/2. Where to get the code and data.mp4 4MB
  58. 8. How to learn more about NLP/1. What we didn't talk about.mp4 4MB
  59. 6. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4 4MB
  60. 7. Write your own article spinner/3. Trigram Model.mp4 4MB
  61. 5. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4 4MB
  62. 2. Course Preparation/1. How to Succeed in this Course.mp4 3MB
  63. 1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp4 3MB
  64. 1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4 3MB
  65. 5. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4 2MB
  66. 3. Build your own spam detector/1. Build your own spam detector - description of data.mp4 2MB
  67. 3. Build your own spam detector/6. Other types of features.mp4 1MB
  68. 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28KB
  69. 10. Appendix/4. How to Code by Yourself (part 1).vtt 20KB
  70. 10. Appendix/2. Windows-Focused Environment Setup 2018.vtt 17KB
  71. 6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.vtt 17KB
  72. 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 15KB
  73. 9. Machine Learning Basics Review/3. (Review) Classification in Code.vtt 15KB
  74. 9. Machine Learning Basics Review/2. (Review) What is Classification.vtt 14KB
  75. 4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.vtt 14KB
  76. 4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.vtt 14KB
  77. 10. Appendix/6. How to Succeed in this Course (Long Version).vtt 13KB
  78. 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 12KB
  79. 10. Appendix/5. How to Code by Yourself (part 2).vtt 12KB
  80. 9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.vtt 12KB
  81. 6. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.vtt 11KB
  82. 7. Write your own article spinner/2. More about Language Models.vtt 11KB
  83. 3. Build your own spam detector/4. Naive Bayes Concepts.vtt 10KB
  84. 3. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).vtt 10KB
  85. 3. Build your own spam detector/10. SMS Spam in Code.vtt 10KB
  86. 9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.vtt 10KB
  87. 9. Machine Learning Basics Review/5. (Review) Regression in Code.vtt 9KB
  88. 4. Build your own sentiment analyzer/2. Logistic Regression Review.vtt 9KB
  89. 7. Write your own article spinner/5. Writing an article spinner in Python.vtt 8KB
  90. 9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.vtt 8KB
  91. 1. Natural Language Processing - What is it used for/2. NLP Applications.vtt 7KB
  92. 3. Build your own spam detector/9. SMS Spam Example.vtt 7KB
  93. 9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.vtt 7KB
  94. 3. Build your own spam detector/8. What is a Vector (Remedial #2).vtt 7KB
  95. 9. Machine Learning Basics Review/11. (Review) Section Summary.vtt 7KB
  96. 6. Latent Semantic Analysis/5. Extending LSA.vtt 7KB
  97. 4. Build your own sentiment analyzer/6. Sentiment Analysis Extension.vtt 7KB
  98. 4. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.vtt 7KB
  99. 9. Machine Learning Basics Review/8. (Review) All Data is the Same.vtt 6KB
  100. 7. Write your own article spinner/6. Article Spinner Extension Exercises.vtt 6KB
  101. 3. Build your own spam detector/5. AdaBoost Concepts.vtt 6KB
  102. 4. Build your own sentiment analyzer/3. Preprocessing Tokenization.vtt 5KB
  103. 9. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.vtt 5KB
  104. 10. Appendix/9. Python 2 vs Python 3.vtt 5KB
  105. 7. Write your own article spinner/4. Precode Exercises.vtt 5KB
  106. 3. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.vtt 5KB
  107. 1. Natural Language Processing - What is it used for/3. Why is NLP hard.vtt 4KB
  108. 4. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.vtt 4KB
  109. 7. Write your own article spinner/1. Article Spinning Introduction and Markov Models.vtt 4KB
  110. 1. Natural Language Processing - What is it used for/1. Introduction and Outline.vtt 4KB
  111. 2. Course Preparation/1. How to Succeed in this Course.vtt 3KB
  112. 8. How to learn more about NLP/1. What we didn't talk about.vtt 3KB
  113. 10. Appendix/1. What is the Appendix.vtt 3KB
  114. 2. Course Preparation/3. Do you need a review of machine learning.vtt 3KB
  115. 6. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.vtt 3KB
  116. 1. Natural Language Processing - What is it used for/4. The Central Message of this Course.vtt 3KB
  117. 2. Course Preparation/2. Where to get the code and data.vtt 3KB
  118. 7. Write your own article spinner/3. Trigram Model.vtt 3KB
  119. 3. Build your own spam detector/1. Build your own spam detector - description of data.vtt 2KB
  120. 5. NLTK Exploration/4. Want more NLTK.vtt 2KB
  121. 5. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.vtt 2KB
  122. 5. NLTK Exploration/1. NLTK Exploration POS Tagging.vtt 2KB
  123. 3. Build your own spam detector/6. Other types of features.vtt 2KB
  124. 5. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.vtt 1KB
  125. [FreeCourseLab.com].url 126B