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

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  • 文件大小:2GB
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文件列表

  1. 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 10. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 139MB
  3. 3. Decrypting Ciphers/4. Genetic Algorithms.mp4 105MB
  4. 11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  5. 7. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 78MB
  6. 5. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 78MB
  7. 10. Machine Learning Basics Review/2. (Review) What is Classification.mp4 71MB
  8. 10. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 69MB
  9. 3. Decrypting Ciphers/3. Language Models.mp4 66MB
  10. 10. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 54MB
  11. 10. Machine Learning Basics Review/4. (Review) What is Regression.mp4 50MB
  12. 10. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 45MB
  13. 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  14. 5. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 44MB
  15. 3. Decrypting Ciphers/11. Code pt 5.mp4 41MB
  16. 10. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 41MB
  17. 4. Build your own spam detector/4. Naive Bayes Concepts.mp4 40MB
  18. 3. Decrypting Ciphers/12. Code pt 6.mp4 39MB
  19. 3. Decrypting Ciphers/8. Code pt 2.mp4 39MB
  20. 11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
  21. 10. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4 38MB
  22. 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 38MB
  23. 11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 38MB
  24. 8. Write your own article spinner/3. More about Language Models.mp4 37MB
  25. 4. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 31MB
  26. 3. Decrypting Ciphers/9. Code pt 3.mp4 30MB
  27. 11. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 29MB
  28. 4. Build your own spam detector/5. AdaBoost Concepts.mp4 27MB
  29. 3. Decrypting Ciphers/1. Section Introduction.mp4 26MB
  30. 8. Write your own article spinner/5. Writing an article spinner in Python.mp4 26MB
  31. 3. Decrypting Ciphers/10. Code pt 4.mp4 26MB
  32. 7. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4 25MB
  33. 10. Machine Learning Basics Review/11. (Review) Section Summary.mp4 25MB
  34. 10. Machine Learning Basics Review/8. (Review) All Data is the Same.mp4 25MB
  35. 11. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25MB
  36. 3. Decrypting Ciphers/13. Section Conclusion.mp4 24MB
  37. 8. Write your own article spinner/6. Article Spinner Extension Exercises.mp4 24MB
  38. 10. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.mp4 23MB
  39. 3. Decrypting Ciphers/5. Code Preparation.mp4 21MB
  40. 8. Write your own article spinner/4. Precode Exercises.mp4 20MB
  41. 3. Decrypting Ciphers/2. Ciphers.mp4 17MB
  42. 7. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4 17MB
  43. 3. Decrypting Ciphers/7. Code pt 1.mp4 16MB
  44. 11. Appendix FAQ/5. How to Code by Yourself (part 2).mp4 15MB
  45. 4. Build your own spam detector/10. SMS Spam in Code.mp4 14MB
  46. 2. Course Preparation/3. Do you need a review of machine learning.mp4 13MB
  47. 11. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4 13MB
  48. 5. Build your own sentiment analyzer/2. Logistic Regression Review.mp4 12MB
  49. 7. Latent Semantic Analysis/5. Extending LSA.mp4 11MB
  50. 4. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4 11MB
  51. 5. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4 11MB
  52. 4. Build your own spam detector/8. What is a Vector (Remedial #2).mp4 9MB
  53. 3. Decrypting Ciphers/13. Section Conclusion.srt 9MB
  54. 6. NLTK Exploration/4. Want more NLTK.mp4 8MB
  55. 11. Appendix FAQ/9. Python 2 vs Python 3.mp4 8MB
  56. 5. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4 8MB
  57. 1. Natural Language Processing - What is it used for/3. Why is NLP hard.mp4 7MB
  58. 6. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4 7MB
  59. 4. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4 7MB
  60. 1. Natural Language Processing - What is it used for/2. NLP Applications.mp4 6MB
  61. 4. Build your own spam detector/9. SMS Spam Example.mp4 6MB
  62. 11. Appendix FAQ/1. What is the Appendix.mp4 5MB
  63. 5. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4 5MB
  64. 5. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4 5MB
  65. 8. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4 5MB
  66. 2. Course Preparation/2. Where to get the code and data.mp4 4MB
  67. 9. How to learn more about NLP/1. What we didn't talk about.mp4 4MB
  68. 7. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4 4MB
  69. 8. Write your own article spinner/2. Trigram Model.mp4 4MB
  70. 6. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4 4MB
  71. 2. Course Preparation/1. How to Succeed in this Course.mp4 3MB
  72. 1. Natural Language Processing - What is it used for/4. The Central Message of this Course.mp4 3MB
  73. 1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4 3MB
  74. 6. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4 2MB
  75. 4. Build your own spam detector/1. Build your own spam detector - description of data.mp4 2MB
  76. 4. Build your own spam detector/6. Other types of features.mp4 1MB
  77. 3. Decrypting Ciphers/4. Genetic Algorithms.srt 29KB
  78. 11. Appendix FAQ/11. What order should I take your courses in (part 2).srt 23KB
  79. 11. Appendix FAQ/4. How to Code by Yourself (part 1).srt 23KB
  80. 3. Decrypting Ciphers/3. Language Models.srt 21KB
  81. 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt 20KB
  82. 7. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.srt 20KB
  83. 10. Machine Learning Basics Review/4. (Review) What is Regression.srt 17KB
  84. 10. Machine Learning Basics Review/3. (Review) Classification in Code.srt 17KB
  85. 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 17KB
  86. 10. Machine Learning Basics Review/2. (Review) What is Classification.srt 16KB
  87. 5. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.srt 16KB
  88. 5. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.srt 16KB
  89. 11. Appendix FAQ/10. What order should I take your courses in (part 1).srt 16KB
  90. 11. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt 15KB
  91. 11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.srt 14KB
  92. 11. Appendix FAQ/5. How to Code by Yourself (part 2).srt 13KB
  93. 10. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.srt 13KB
  94. 7. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.srt 13KB
  95. 8. Write your own article spinner/3. More about Language Models.srt 12KB
  96. 4. Build your own spam detector/4. Naive Bayes Concepts.srt 12KB
  97. 4. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).srt 11KB
  98. 4. Build your own spam detector/10. SMS Spam in Code.srt 11KB
  99. 10. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.srt 11KB
  100. 10. Machine Learning Basics Review/5. (Review) Regression in Code.srt 10KB
  101. 5. Build your own sentiment analyzer/2. Logistic Regression Review.srt 10KB
  102. 8. Write your own article spinner/5. Writing an article spinner in Python.srt 10KB
  103. 3. Decrypting Ciphers/8. Code pt 2.srt 9KB
  104. 10. Machine Learning Basics Review/6. (Review) What is a Feature Vector.srt 9KB
  105. 3. Decrypting Ciphers/11. Code pt 5.srt 9KB
  106. 1. Natural Language Processing - What is it used for/2. NLP Applications.srt 8KB
  107. 4. Build your own spam detector/9. SMS Spam Example.srt 8KB
  108. 10. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.srt 8KB
  109. 10. Machine Learning Basics Review/11. (Review) Section Summary.srt 8KB
  110. 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.srt 8KB
  111. 4. Build your own spam detector/8. What is a Vector (Remedial #2).srt 8KB
  112. 4. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.srt 8KB
  113. 5. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.srt 8KB
  114. 5. Build your own sentiment analyzer/6. Sentiment Analysis Extension.srt 8KB
  115. 7. Latent Semantic Analysis/5. Extending LSA.srt 8KB
  116. 7. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.srt 8KB
  117. 10. Machine Learning Basics Review/8. (Review) All Data is the Same.srt 7KB
  118. 3. Decrypting Ciphers/12. Code pt 6.srt 7KB
  119. 3. Decrypting Ciphers/5. Code Preparation.srt 7KB
  120. 8. Write your own article spinner/6. Article Spinner Extension Exercises.srt 7KB
  121. 3. Decrypting Ciphers/1. Section Introduction.srt 7KB
  122. 4. Build your own spam detector/5. AdaBoost Concepts.srt 6KB
  123. 5. Build your own sentiment analyzer/3. Preprocessing Tokenization.srt 6KB
  124. 10. Machine Learning Basics Review/7. (Review) Machine Learning is Nothing but Geometry.srt 6KB
  125. 3. Decrypting Ciphers/9. Code pt 3.srt 6KB
  126. 11. Appendix FAQ/9. Python 2 vs Python 3.srt 6KB
  127. 8. Write your own article spinner/4. Precode Exercises.srt 6KB
  128. 4. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.srt 6KB
  129. 3. Decrypting Ciphers/10. Code pt 4.srt 5KB
  130. 3. Decrypting Ciphers/2. Ciphers.srt 5KB
  131. 1. Natural Language Processing - What is it used for/3. Why is NLP hard.srt 5KB
  132. 5. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.srt 4KB
  133. 3. Decrypting Ciphers/7. Code pt 1.srt 4KB
  134. 8. Write your own article spinner/1. Article Spinning Introduction and Markov Models.srt 4KB
  135. 1. Natural Language Processing - What is it used for/1. Introduction and Outline.srt 4KB
  136. 2. Course Preparation/1. How to Succeed in this Course.srt 4KB
  137. 9. How to learn more about NLP/1. What we didn't talk about.srt 4KB
  138. 11. Appendix FAQ/1. What is the Appendix.srt 4KB
  139. 2. Course Preparation/3. Do you need a review of machine learning.srt 4KB
  140. 7. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.srt 3KB
  141. 2. Course Preparation/2. Where to get the code and data.srt 3KB
  142. 1. Natural Language Processing - What is it used for/4. The Central Message of this Course.srt 3KB
  143. 8. Write your own article spinner/2. Trigram Model.srt 3KB
  144. 4. Build your own spam detector/1. Build your own spam detector - description of data.srt 3KB
  145. 6. NLTK Exploration/4. Want more NLTK.srt 2KB
  146. 6. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.srt 2KB
  147. 6. NLTK Exploration/1. NLTK Exploration POS Tagging.srt 2KB
  148. 4. Build your own spam detector/6. Other types of features.srt 2KB
  149. 6. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.srt 2KB
  150. 3. Decrypting Ciphers/6. Link to Cipher Notebook.html 235B
  151. [FreeCourseWorld.Com].url 54B
  152. [DesireCourse.Net].url 51B
  153. [CourseClub.Me].url 48B
  154. 11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 0B