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[] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 收录时间:2022-01-20 08:27:36
  • 文件大小:3GB
  • 下载次数:1
  • 最近下载:2022-01-20 08:27:36
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文件列表

  1. 02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 125MB
  2. 08 - Spam Detection/006 Spam Detection in Python.mp4 108MB
  3. 06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 105MB
  4. 02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4 102MB
  5. 05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 96MB
  6. 02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4 80MB
  7. 05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4 75MB
  8. 02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp4 75MB
  9. 02 - Vector Models and Text Preprocessing/006 Tokenization.mp4 74MB
  10. 01 - Introduction/001 Introduction and Outline.mp4 73MB
  11. 04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp4 72MB
  12. 02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp4 67MB
  13. 06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp4 66MB
  14. 09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp4 64MB
  15. 01 - Introduction/002 Where to get the Code.mp4 63MB
  16. 04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp4 63MB
  17. 08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 60MB
  18. 02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp4 59MB
  19. 02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp4 58MB
  20. 04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp4 58MB
  21. 02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory).mp4 57MB
  22. 04 - Markov Models (Intermediate)/012 Language Model (Code pt 2).mp4 52MB
  23. 09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2).mp4 52MB
  24. 08 - Spam Detection/002 Naive Bayes Intuition.mp4 51MB
  25. 02 - Vector Models and Text Preprocessing/003 What is a Vector.mp4 49MB
  26. 02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping.mp4 48MB
  27. 02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings.mp4 46MB
  28. 04 - Markov Models (Intermediate)/003 The Markov Model.mp4 45MB
  29. 02 - Vector Models and Text Preprocessing/011 Vector Similarity.mp4 45MB
  30. 04 - Markov Models (Intermediate)/009 Language Model (Theory).mp4 45MB
  31. 09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description.mp4 43MB
  32. 05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description.mp4 42MB
  33. 06 - Cipher Decryption (Advanced)/010 Code pt 5.mp4 41MB
  34. 09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3).mp4 40MB
  35. 06 - Cipher Decryption (Advanced)/007 Code pt 2.mp4 39MB
  36. 04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities.mp4 33MB
  37. 04 - Markov Models (Intermediate)/002 The Markov Property.mp4 32MB
  38. 08 - Spam Detection/001 Spam Detection - Problem Description.mp4 31MB
  39. 06 - Cipher Decryption (Advanced)/008 Code pt 3.mp4 30MB
  40. 04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory).mp4 29MB
  41. 04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt).mp4 29MB
  42. 02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP.mp4 28MB
  43. 05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong.mp4 28MB
  44. 08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 27MB
  45. 03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction).mp4 27MB
  46. 01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4 27MB
  47. 06 - Cipher Decryption (Advanced)/001 Section Introduction.mp4 26MB
  48. 06 - Cipher Decryption (Advanced)/009 Code pt 4.mp4 26MB
  49. 09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1).mp4 25MB
  50. 05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt.mp4 25MB
  51. 06 - Cipher Decryption (Advanced)/012 Section Conclusion.mp4 24MB
  52. 09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2).mp4 24MB
  53. 07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction).mp4 23MB
  54. 02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary.mp4 21MB
  55. 06 - Cipher Decryption (Advanced)/005 Code Preparation.mp4 21MB
  56. 02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro.mp4 18MB
  57. 06 - Cipher Decryption (Advanced)/002 Ciphers.mp4 17MB
  58. 09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt.mp4 17MB
  59. 04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt).mp4 16MB
  60. 06 - Cipher Decryption (Advanced)/006 Code pt 1.mp4 16MB
  61. 05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach.mp4 16MB
  62. 04 - Markov Models (Intermediate)/013 Markov Models Section Summary.mp4 16MB
  63. 02 - Vector Models and Text Preprocessing/004 Bag of Words.mp4 14MB
  64. 02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt.mp4 13MB
  65. 06 - Cipher Decryption (Advanced)/011 Code pt 6.mp4 13MB
  66. 02 - Vector Models and Text Preprocessing/007 Stopwords.mp4 13MB
  67. 04 - Markov Models (Intermediate)/001 Markov Models Section Introduction.mp4 13MB
  68. 08 - Spam Detection/003 Spam Detection - Exercise Prompt.mp4 9MB
  69. 06 - Cipher Decryption (Advanced)/004 Genetic Algorithms_en.srt 29KB
  70. 02 - Vector Models and Text Preprocessing/014 TF-IDF (Code)_en.srt 25KB
  71. 09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1)_en.srt 23KB
  72. 05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1)_en.srt 21KB
  73. 06 - Cipher Decryption (Advanced)/003 Language Models (Review)_en.srt 21KB
  74. 02 - Vector Models and Text Preprocessing/006 Tokenization_en.srt 20KB
  75. 08 - Spam Detection/006 Spam Detection in Python_en.srt 19KB
  76. 02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory)_en.srt 19KB
  77. 02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code)_en.srt 19KB
  78. 02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch_en.srt 19KB
  79. 02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory)_en.srt 18KB
  80. 08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1)_en.srt 17KB
  81. 04 - Markov Models (Intermediate)/003 The Markov Model_en.srt 16KB
  82. 02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization_en.srt 16KB
  83. 01 - Introduction/002 Where to get the Code_en.srt 16KB
  84. 01 - Introduction/001 Introduction and Outline_en.srt 15KB
  85. 08 - Spam Detection/002 Naive Bayes Intuition_en.srt 15KB
  86. 02 - Vector Models and Text Preprocessing/011 Vector Similarity_en.srt 15KB
  87. 02 - Vector Models and Text Preprocessing/003 What is a Vector_en.srt 15KB
  88. 02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping_en.srt 15KB
  89. 08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2)_en.srt 14KB
  90. 02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo_en.srt 14KB
  91. 04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2)_en.srt 14KB
  92. 02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings_en.srt 13KB
  93. 04 - Markov Models (Intermediate)/009 Language Model (Theory)_en.srt 13KB
  94. 04 - Markov Models (Intermediate)/011 Language Model (Code pt 1)_en.srt 13KB
  95. 02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo_en.srt 13KB
  96. 05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2)_en.srt 12KB
  97. 04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1)_en.srt 12KB
  98. 09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1)_en.srt 12KB
  99. 04 - Markov Models (Intermediate)/012 Language Model (Code pt 2)_en.srt 11KB
  100. 09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3)_en.srt 11KB
  101. 05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description_en.srt 11KB
  102. 04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities_en.srt 10KB
  103. 09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description_en.srt 10KB
  104. 09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2)_en.srt 10KB
  105. 04 - Markov Models (Intermediate)/002 The Markov Property_en.srt 9KB
  106. 04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory)_en.srt 9KB
  107. 06 - Cipher Decryption (Advanced)/007 Code pt 2_en.srt 9KB
  108. 04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt)_en.srt 9KB
  109. 06 - Cipher Decryption (Advanced)/010 Code pt 5_en.srt 9KB
  110. 04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt)_en.srt 9KB
  111. 08 - Spam Detection/001 Spam Detection - Problem Description_en.srt 9KB
  112. 09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2)_en.srt 8KB
  113. 06 - Cipher Decryption (Advanced)/012 Section Conclusion_en.srt 8KB
  114. 05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt_en.srt 8KB
  115. 05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong_en.srt 8KB
  116. 06 - Cipher Decryption (Advanced)/011 Code pt 6_en.srt 7KB
  117. 01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt 7KB
  118. 06 - Cipher Decryption (Advanced)/005 Code Preparation_en.srt 7KB
  119. 06 - Cipher Decryption (Advanced)/001 Section Introduction_en.srt 7KB
  120. 02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP_en.srt 7KB
  121. 03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction)_en.srt 6KB
  122. 07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction)_en.srt 6KB
  123. 02 - Vector Models and Text Preprocessing/007 Stopwords_en.srt 6KB
  124. 06 - Cipher Decryption (Advanced)/008 Code pt 3_en.srt 6KB
  125. 05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach_en.srt 5KB
  126. 09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt_en.srt 5KB
  127. 02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro_en.srt 5KB
  128. 06 - Cipher Decryption (Advanced)/009 Code pt 4_en.srt 5KB
  129. 06 - Cipher Decryption (Advanced)/002 Ciphers_en.srt 5KB
  130. 02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary_en.srt 5KB
  131. 06 - Cipher Decryption (Advanced)/006 Code pt 1_en.srt 4KB
  132. 04 - Markov Models (Intermediate)/013 Markov Models Section Summary_en.srt 4KB
  133. 04 - Markov Models (Intermediate)/001 Markov Models Section Introduction_en.srt 3KB
  134. 02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt_en.srt 3KB
  135. 02 - Vector Models and Text Preprocessing/004 Bag of Words_en.srt 3KB
  136. 08 - Spam Detection/003 Spam Detection - Exercise Prompt_en.srt 3KB
  137. 10 - Extras/001 Colab Notebooks.html 572B
  138. 01 - Introduction/external-assets-links.txt 223B
  139. 0. Websites you may like/[FCS Forum].url 133B
  140. 0. Websites you may like/[FreeCourseSite.com].url 127B
  141. 0. Websites you may like/[CourseClub.ME].url 122B
  142. 0. Websites you may like/[GigaCourse.Com].url 49B