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[] Udemy - NLP - Natural Language Processing with Python

  • 收录时间:2019-11-25 14:03:11
  • 文件大小:5GB
  • 下载次数:69
  • 最近下载:2021-01-22 12:50:45
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文件列表

  1. 8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4 143MB
  2. 7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.mp4 128MB
  3. 3. Natural Language Processing Basics/4. Spacy Basics.mp4 128MB
  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.mp4 95MB
  13. 4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.mp4 94MB
  14. 8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.mp4 91MB
  15. 6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.mp4 91MB
  16. 8. Deep Learning for NLP/4. Keras Basics - Part One.mp4 91MB
  17. 1. Introduction/1.1 UPDATED_NLP_COURSE.zip.zip 89MB
  18. 1. Introduction/5.1 UPDATED_NLP_COURSE.zip.zip 89MB
  19. 5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp4 89MB
  20. 1. Introduction/4. Installation and Setup Lecture.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. 7. Topic Modeling/7. Non-negative Matrix Factorization with Python.mp4 84MB
  24. 3. Natural Language Processing Basics/5. Tokenization - Part One.mp4 76MB
  25. 2. Python Text Basics/4. Working with PDFs.mp4 74MB
  26. 8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.mp4 73MB
  27. 4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.mp4 67MB
  28. 5. Text Classification/11. Text Classification Code Along Project.mp4 67MB
  29. 2. Python Text Basics/2. Working with Text Files with Python - Part One.mp4 65MB
  30. 4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.mp4 63MB
  31. 5. Text Classification/3. Classification Metrics.mp4 62MB
  32. 2. Python Text Basics/6. Regular Expressions Part Two.mp4 61MB
  33. 4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.mp4 61MB
  34. 7. Topic Modeling/3. Latent Dirichlet Allocation Overview.mp4 60MB
  35. 7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.mp4 60MB
  36. 3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.mp4 58MB
  37. 7. Topic Modeling/9. Topic Modeling Project - Solutions.mp4 57MB
  38. 3. Natural Language Processing Basics/2. Spacy Setup and Overview.mp4 56MB
  39. 5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.mp4 56MB
  40. 5. Text Classification/4. Confusion Matrix.mp4 54MB
  41. 3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.mp4 53MB
  42. 3. Natural Language Processing Basics/7. Stemming.mp4 52MB
  43. 4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.mp4 52MB
  44. 8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.mp4 51MB
  45. 5. Text Classification/2. Machine Learning Overview.mp4 51MB
  46. 2. Python Text Basics/8. Python Text Basics - Assessment Solutions.mp4 50MB
  47. 8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.mp4 49MB
  48. 6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.mp4 49MB
  49. 3. Natural Language Processing Basics/6. Tokenization - Part Two.mp4 46MB
  50. 3. Natural Language Processing Basics/8. Lemmatization.mp4 45MB
  51. 5. Text Classification/13. Text Classification Assessment Solutions.mp4 43MB
  52. 8. Deep Learning for NLP/11. Chat Bots Overview.mp4 42MB
  53. 7. Topic Modeling/6. Non-negative Matrix Factorization Overview.mp4 42MB
  54. 6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.mp4 40MB
  55. 3. Natural Language Processing Basics/9. Stop Words.mp4 37MB
  56. 8. Deep Learning for NLP/5. Keras Basics - Part Two.mp4 37MB
  57. 1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.mp4 36MB
  58. 5. Text Classification/8. Text Feature Extraction Overview.mp4 35MB
  59. 8. Deep Learning for NLP/6. Recurrent Neural Network Overview.mp4 33MB
  60. 4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.mp4 33MB
  61. 7. Topic Modeling/8. Topic Modeling Project - Overview.mp4 31MB
  62. 6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.mp4 30MB
  63. 8. Deep Learning for NLP/3. Introduction to Neural Networks.mp4 29MB
  64. 3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.mp4 26MB
  65. 6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.mp4 25MB
  66. 8. Deep Learning for NLP/2. The Basic Perceptron Model.mp4 22MB
  67. 5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.mp4 21MB
  68. 2. Python Text Basics/7. Python Text Basics - Assessment Overview.mp4 20MB
  69. 1. Introduction/3. Curriculum Overview.mp4 20MB
  70. 3. Natural Language Processing Basics/3. What is Natural Language Processing.mp4 19MB
  71. 4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.mp4 19MB
  72. 7. Topic Modeling/2. Overview of Topic Modeling.mp4 13MB
  73. 5. Text Classification/12. Text Classification Assessment Overview.mp4 9MB
  74. 8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.mp4 7MB
  75. 5. Text Classification/1. Introduction to Text Classification.mp4 5MB
  76. 7. Topic Modeling/1. Introduction to Topic Modeling Section.mp4 4MB
  77. 3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.mp4 4MB
  78. 2. Python Text Basics/1. Introduction to Python Text Basics.mp4 4MB
  79. 4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.mp4 4MB
  80. 6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.mp4 2MB
  81. 2. Python Text Basics/3. Working with Text Files with Python - Part Two.srt 28KB
  82. 3. Natural Language Processing Basics/4. Spacy Basics.srt 27KB
  83. 8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.srt 26KB
  84. 4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.srt 23KB
  85. 6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.srt 23KB
  86. 8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.srt 23KB
  87. 8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.srt 22KB
  88. 5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.srt 22KB
  89. 2. Python Text Basics/5. Regular Expressions Part One.srt 21KB
  90. 3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.srt 21KB
  91. 4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.srt 21KB
  92. 7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.srt 20KB
  93. 5. Text Classification/9. Text Feature Extraction - Code Along Implementations.srt 20KB
  94. 8. Deep Learning for NLP/4. Keras Basics - Part One.srt 20KB
  95. 3. Natural Language Processing Basics/5. Tokenization - Part One.srt 20KB
  96. 8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.srt 19KB
  97. 1. Introduction/4. Installation and Setup Lecture.srt 19KB
  98. 8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.srt 18KB
  99. 6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.srt 18KB
  100. 5. Text Classification/3. Classification Metrics.srt 17KB
  101. 2. Python Text Basics/2. Working with Text Files with Python - Part One.srt 16KB
  102. 8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.srt 16KB
  103. 2. Python Text Basics/4. Working with PDFs.srt 16KB
  104. 7. Topic Modeling/7. Non-negative Matrix Factorization with Python.srt 16KB
  105. 8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.srt 15KB
  106. 5. Text Classification/4. Confusion Matrix.srt 15KB
  107. 6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.srt 15KB
  108. 7. Topic Modeling/3. Latent Dirichlet Allocation Overview.srt 15KB
  109. 5. Text Classification/2. Machine Learning Overview.srt 15KB
  110. 8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.srt 15KB
  111. 5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.srt 15KB
  112. 5. Text Classification/11. Text Classification Code Along Project.srt 14KB
  113. 2. Python Text Basics/6. Regular Expressions Part Two.srt 13KB
  114. 7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.srt 13KB
  115. 4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.srt 13KB
  116. 3. Natural Language Processing Basics/7. Stemming.srt 12KB
  117. 5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.srt 12KB
  118. 4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.srt 12KB
  119. 3. Natural Language Processing Basics/2. Spacy Setup and Overview.srt 11KB
  120. 8. Deep Learning for NLP/6. Recurrent Neural Network Overview.srt 11KB
  121. 8. Deep Learning for NLP/11. Chat Bots Overview.srt 11KB
  122. 6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.srt 11KB
  123. 6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.srt 10KB
  124. 4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.srt 10KB
  125. 4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.srt 10KB
  126. 2. Python Text Basics/8. Python Text Basics - Assessment Solutions.srt 10KB
  127. 3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.srt 10KB
  128. 3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.srt 10KB
  129. 8. Deep Learning for NLP/3. Introduction to Neural Networks.srt 10KB
  130. 7. Topic Modeling/6. Non-negative Matrix Factorization Overview.srt 9KB
  131. 3. Natural Language Processing Basics/8. Lemmatization.srt 9KB
  132. 7. Topic Modeling/9. Topic Modeling Project - Solutions.srt 9KB
  133. 5. Text Classification/13. Text Classification Assessment Solutions.srt 9KB
  134. 3. Natural Language Processing Basics/6. Tokenization - Part Two.srt 9KB
  135. 4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.srt 9KB
  136. 5. Text Classification/8. Text Feature Extraction Overview.srt 8KB
  137. 8. Deep Learning for NLP/5. Keras Basics - Part Two.srt 8KB
  138. 8. Deep Learning for NLP/2. The Basic Perceptron Model.srt 8KB
  139. 1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.srt 7KB
  140. 6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.srt 7KB
  141. 5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.srt 7KB
  142. 3. Natural Language Processing Basics/9. Stop Words.srt 6KB
  143. 7. Topic Modeling/8. Topic Modeling Project - Overview.srt 6KB
  144. 1. Introduction/5. FAQ - Frequently Asked Questions.html 5KB
  145. 1. Introduction/3. Curriculum Overview.srt 5KB
  146. 3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.srt 5KB
  147. 6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.srt 5KB
  148. 3. Natural Language Processing Basics/3. What is Natural Language Processing.srt 4KB
  149. 4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.srt 4KB
  150. 2. Python Text Basics/7. Python Text Basics - Assessment Overview.srt 4KB
  151. 7. Topic Modeling/2. Overview of Topic Modeling.srt 3KB
  152. 5. Text Classification/12. Text Classification Assessment Overview.srt 2KB
  153. 5. Text Classification/1. Introduction to Text Classification.srt 1KB
  154. 8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.srt 1KB
  155. 3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.srt 970B
  156. 2. Python Text Basics/1. Introduction to Python Text Basics.srt 887B
  157. 7. Topic Modeling/1. Introduction to Topic Modeling Section.srt 852B
  158. 4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.srt 749B
  159. 6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.srt 649B
  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. 8. Deep Learning for NLP/11.1 End to End Networks.html 97B