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[] Udemy - NLP - Natural Language Processing with Python

  • 收录时间:2019-03-02 19:38:40
  • 文件大小:5GB
  • 下载次数:90
  • 最近下载:2021-01-19 14:54:01
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文件列表

  1. 7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.mp4 128MB
  2. 3. Natural Language Processing Basics/4. Spacy Basics.mp4 128MB
  3. 8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4 126MB
  4. 2. Python Text Basics/3. Working with Text Files with Python - Part Two.mp4 118MB
  5. 8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.mp4 117MB
  6. 6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.mp4 115MB
  7. 4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.mp4 110MB
  8. 5. Text Classification/9. Text Feature Extraction - Code Along Implementations.mp4 108MB
  9. 3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.mp4 108MB
  10. 8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.mp4 101MB
  11. 8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.mp4 100MB
  12. 2. Python Text Basics/5. Regular Expressions Part One.vtt 95MB
  13. 2. Python Text Basics/5. Regular Expressions Part One.mp4 95MB
  14. 4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.mp4 94MB
  15. 8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.mp4 91MB
  16. 6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.mp4 91MB
  17. 8. Deep Learning for NLP/4. Keras Basics - Part One.mp4 91MB
  18. 1. Introduction/1.1 UPDATED_NLP_COURSE.zip.zip 89MB
  19. 1. Introduction/5.1 UPDATED_NLP_COURSE.zip.zip 89MB
  20. 5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp4 89MB
  21. 6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.mp4 89MB
  22. 5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.mp4 88MB
  23. 1. Introduction/4. Installation and Setup Lecture.mp4 88MB
  24. 7. Topic Modeling/7. Non-negative Matrix Factorization with Python.mp4 84MB
  25. 3. Natural Language Processing Basics/5. Tokenization - Part One.mp4 76MB
  26. 2. Python Text Basics/4. Working with PDFs.vtt 74MB
  27. 2. Python Text Basics/4. Working with PDFs.mp4 74MB
  28. 8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.mp4 73MB
  29. 4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.mp4 67MB
  30. 5. Text Classification/11. Text Classification Code Along Project.mp4 67MB
  31. 2. Python Text Basics/2. Working with Text Files with Python - Part One.mp4 65MB
  32. 4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.mp4 63MB
  33. 5. Text Classification/3. Classification Metrics.mp4 62MB
  34. 2. Python Text Basics/6. Regular Expressions Part Two.mp4 61MB
  35. 2. Python Text Basics/6. Regular Expressions Part Two.vtt 61MB
  36. 4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.mp4 61MB
  37. 7. Topic Modeling/3. Latent Dirichlet Allocation Overview.mp4 60MB
  38. 7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.mp4 60MB
  39. 3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.mp4 58MB
  40. 7. Topic Modeling/9. Topic Modeling Project - Solutions.mp4 57MB
  41. 3. Natural Language Processing Basics/2. Spacy Setup and Overview.mp4 56MB
  42. 5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.mp4 56MB
  43. 5. Text Classification/4. Confusion Matrix.mp4 54MB
  44. 3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.mp4 53MB
  45. 3. Natural Language Processing Basics/7. Stemming.mp4 52MB
  46. 4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.mp4 52MB
  47. 8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.mp4 51MB
  48. 5. Text Classification/2. Machine Learning Overview.vtt 51MB
  49. 5. Text Classification/2. Machine Learning Overview.mp4 51MB
  50. 2. Python Text Basics/8. Python Text Basics - Assessment Solutions.mp4 50MB
  51. 8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.mp4 49MB
  52. 6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.mp4 49MB
  53. 3. Natural Language Processing Basics/6. Tokenization - Part Two.mp4 46MB
  54. 3. Natural Language Processing Basics/8. Lemmatization.mp4 45MB
  55. 5. Text Classification/13. Text Classification Assessment Solutions.mp4 43MB
  56. 8. Deep Learning for NLP/11. Chat Bots Overview.mp4 42MB
  57. 7. Topic Modeling/6. Non-negative Matrix Factorization Overview.mp4 42MB
  58. 6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.mp4 40MB
  59. 3. Natural Language Processing Basics/9. Stop Words.mp4 37MB
  60. 8. Deep Learning for NLP/5. Keras Basics - Part Two.mp4 37MB
  61. 5. Text Classification/8. Text Feature Extraction Overview.mp4 35MB
  62. 8. Deep Learning for NLP/6. Recurrent Neural Network Overview.mp4 33MB
  63. 4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.mp4 33MB
  64. 5. Text Classification/12. Text Classification Assessment Overview.vtt 31MB
  65. 7. Topic Modeling/8. Topic Modeling Project - Overview.mp4 31MB
  66. 6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.mp4 30MB
  67. 8. Deep Learning for NLP/3. Introduction to Neural Networks.mp4 29MB
  68. 3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.mp4 26MB
  69. 6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.mp4 25MB
  70. 1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.mp4 23MB
  71. 8. Deep Learning for NLP/2. The Basic Perceptron Model.mp4 22MB
  72. 5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.mp4 21MB
  73. 5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.vtt 21MB
  74. 2. Python Text Basics/7. Python Text Basics - Assessment Overview.mp4 20MB
  75. 3. Natural Language Processing Basics/3. What is Natural Language Processing.mp4 19MB
  76. 4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.mp4 19MB
  77. 1. Introduction/3. Curriculum Overview.mp4 14MB
  78. 7. Topic Modeling/2. Overview of Topic Modeling.mp4 13MB
  79. 5. Text Classification/12. Text Classification Assessment Overview.mp4 9MB
  80. 5. Text Classification/11. Text Classification Code Along Project.vtt 9MB
  81. 8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.mp4 9MB
  82. 5. Text Classification/1. Introduction to Text Classification.mp4 5MB
  83. 7. Topic Modeling/1. Introduction to Topic Modeling Section.mp4 4MB
  84. 3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.mp4 4MB
  85. 2. Python Text Basics/1. Introduction to Python Text Basics.mp4 4MB
  86. 4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.mp4 4MB
  87. 6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.mp4 2MB
  88. 2. Python Text Basics/3. Working with Text Files with Python - Part Two.vtt 25KB
  89. 3. Natural Language Processing Basics/4. Spacy Basics.vtt 23KB
  90. 8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.vtt 23KB
  91. 4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.vtt 20KB
  92. 6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.vtt 20KB
  93. 8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.vtt 20KB
  94. 8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.vtt 20KB
  95. 5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.vtt 19KB
  96. 3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.vtt 18KB
  97. 4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.vtt 18KB
  98. 7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.vtt 18KB
  99. 5. Text Classification/9. Text Feature Extraction - Code Along Implementations.vtt 17KB
  100. 8. Deep Learning for NLP/4. Keras Basics - Part One.vtt 17KB
  101. 3. Natural Language Processing Basics/5. Tokenization - Part One.vtt 17KB
  102. 8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.vtt 17KB
  103. 1. Introduction/4. Installation and Setup Lecture.vtt 17KB
  104. 8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.vtt 16KB
  105. 6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.vtt 16KB
  106. 5. Text Classification/3. Classification Metrics.vtt 15KB
  107. 8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.vtt 14KB
  108. 2. Python Text Basics/2. Working with Text Files with Python - Part One.vtt 14KB
  109. 7. Topic Modeling/7. Non-negative Matrix Factorization with Python.vtt 14KB
  110. 8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.vtt 13KB
  111. 7. Topic Modeling/3. Latent Dirichlet Allocation Overview.vtt 13KB
  112. 5. Text Classification/4. Confusion Matrix.vtt 13KB
  113. 6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.vtt 13KB
  114. 8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.vtt 13KB
  115. 5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.vtt 13KB
  116. 7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.vtt 11KB
  117. 3. Natural Language Processing Basics/7. Stemming.vtt 11KB
  118. 4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.vtt 11KB
  119. 5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.vtt 10KB
  120. 4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.vtt 10KB
  121. 3. Natural Language Processing Basics/2. Spacy Setup and Overview.vtt 10KB
  122. 8. Deep Learning for NLP/6. Recurrent Neural Network Overview.vtt 10KB
  123. 8. Deep Learning for NLP/11. Chat Bots Overview.vtt 10KB
  124. 6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.vtt 9KB
  125. 6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.vtt 9KB
  126. 4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.vtt 9KB
  127. 4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.vtt 9KB
  128. 2. Python Text Basics/8. Python Text Basics - Assessment Solutions.vtt 9KB
  129. 8. Deep Learning for NLP/3. Introduction to Neural Networks.vtt 9KB
  130. 3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.vtt 8KB
  131. 3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.vtt 8KB
  132. 7. Topic Modeling/6. Non-negative Matrix Factorization Overview.vtt 8KB
  133. 3. Natural Language Processing Basics/8. Lemmatization.vtt 8KB
  134. 7. Topic Modeling/9. Topic Modeling Project - Solutions.vtt 8KB
  135. 5. Text Classification/13. Text Classification Assessment Solutions.vtt 8KB
  136. 3. Natural Language Processing Basics/6. Tokenization - Part Two.vtt 8KB
  137. 4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.vtt 8KB
  138. 5. Text Classification/8. Text Feature Extraction Overview.vtt 7KB
  139. 8. Deep Learning for NLP/5. Keras Basics - Part Two.vtt 7KB
  140. 8. Deep Learning for NLP/2. The Basic Perceptron Model.vtt 7KB
  141. 1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.vtt 6KB
  142. 6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.vtt 6KB
  143. 3. Natural Language Processing Basics/9. Stop Words.vtt 6KB
  144. 7. Topic Modeling/8. Topic Modeling Project - Overview.vtt 5KB
  145. 1. Introduction/5. FAQ - Frequently Asked Questions.html 5KB
  146. 1. Introduction/3. Curriculum Overview.vtt 4KB
  147. 3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.vtt 4KB
  148. 6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.vtt 4KB
  149. 3. Natural Language Processing Basics/3. What is Natural Language Processing.vtt 4KB
  150. 4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.vtt 3KB
  151. 2. Python Text Basics/7. Python Text Basics - Assessment Overview.vtt 3KB
  152. 7. Topic Modeling/2. Overview of Topic Modeling.vtt 3KB
  153. 5. Text Classification/1. Introduction to Text Classification.vtt 1KB
  154. 8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.vtt 1KB
  155. 3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.vtt 866B
  156. 2. Python Text Basics/1. Introduction to Python Text Basics.vtt 795B
  157. 7. Topic Modeling/1. Introduction to Topic Modeling Section.vtt 760B
  158. 4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.vtt 669B
  159. 6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.vtt 581B
  160. 1. Introduction/2. Quick Check.html 150B
  161. 1. Introduction/4.1 Link for .yml file (Should work for all Operating Systems).html 127B
  162. [FreeCourseLab.com].url 126B
  163. 8. Deep Learning for NLP/11.1 End to End Networks.html 97B