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

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文件列表

  1. 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 3. Machine Learning Basics Review/3. Classification in Code.mp4 139MB
  3. 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 135MB
  4. 4. Decrypting Ciphers/4. Genetic Algorithms.mp4 105MB
  5. 9. Write your own article spinner/5. Writing an article spinner in Python.mp4 79MB
  6. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  7. 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 78MB
  8. 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 78MB
  9. 3. Machine Learning Basics Review/1. Machine Learning Section Introduction.mp4 76MB
  10. 3. Machine Learning Basics Review/2. What is Classification.mp4 71MB
  11. 3. Machine Learning Basics Review/5. Regression in Code.mp4 69MB
  12. 4. Decrypting Ciphers/3. Language Models.mp4 66MB
  13. 8. Latent Semantic Analysis/3. Latent Semantic Analysis in Python.mp4 63MB
  14. 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models.mp4 54MB
  15. 1. Natural Language Processing - What is it used for/2. Why Learn NLP.mp4 53MB
  16. 1. Natural Language Processing - What is it used for/1. Introduction and Outline.mp4 51MB
  17. 3. Machine Learning Basics Review/4. What is Regression.mp4 50MB
  18. 2. Course Preparation/1. How to Succeed in this Course.mp4 44MB
  19. 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective).mp4 43MB
  20. 4. Decrypting Ciphers/10. Code pt 5.mp4 41MB
  21. 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics.mp4 41MB
  22. 5. Build your own spam detector/4. Naive Bayes Concepts.mp4 40MB
  23. 4. Decrypting Ciphers/11. Code pt 6.mp4 39MB
  24. 4. Decrypting Ciphers/7. Code pt 2.mp4 39MB
  25. 3. Machine Learning Basics Review/6. What is a Feature Vector.mp4 38MB
  26. 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 38MB
  27. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 38MB
  28. 4. Decrypting Ciphers/1. Section Introduction.mp4 37MB
  29. 9. Write your own article spinner/3. More about Language Models.mp4 37MB
  30. 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 31MB
  31. 4. Decrypting Ciphers/8. Code pt 3.mp4 30MB
  32. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29MB
  33. 2. Course Preparation/2. Where to get the code and data.mp4 29MB
  34. 5. Build your own spam detector/5. AdaBoost Concepts.mp4 27MB
  35. 4. Decrypting Ciphers/9. Code pt 4.mp4 26MB
  36. 3. Machine Learning Basics Review/11. Section Summary.mp4 25MB
  37. 3. Machine Learning Basics Review/8. All Data is the Same.mp4 25MB
  38. 5. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code.mp4 25MB
  39. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25MB
  40. 4. Decrypting Ciphers/12. Section Conclusion.mp4 24MB
  41. 9. Write your own article spinner/6. Article Spinner Extension Exercises.mp4 24MB
  42. 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry.mp4 23MB
  43. 4. Decrypting Ciphers/5. Code Preparation.mp4 21MB
  44. 9. Write your own article spinner/4. Precode Exercises.mp4 20MB
  45. 4. Decrypting Ciphers/2. Ciphers.mp4 17MB
  46. 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For.mp4 17MB
  47. 5. Build your own spam detector/11. Suggestion Box.mp4 16MB
  48. 4. Decrypting Ciphers/6. Code pt 1.mp4 16MB
  49. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 15MB
  50. 5. Build your own spam detector/10. SMS Spam in Code.mp4 14MB
  51. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 13MB
  52. 6. Build your own sentiment analyzer/2. Logistic Regression Review.mp4 12MB
  53. 2. Course Preparation/3. How to Open Files for Windows Users.mp4 11MB
  54. 8. Latent Semantic Analysis/5. Extending LSA.mp4 11MB
  55. 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1).mp4 11MB
  56. 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors.mp4 11MB
  57. 5. Build your own spam detector/8. What is a Vector (Remedial #2).mp4 9MB
  58. 7. NLTK Exploration/4. Want more NLTK.mp4 8MB
  59. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 8MB
  60. 6. Build your own sentiment analyzer/3. Preprocessing Tokenization.mp4 8MB
  61. 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition.mp4 7MB
  62. 5. Build your own spam detector/9. SMS Spam Example.mp4 6MB
  63. 14. Appendix FAQ Finale/1. What is the Appendix.mp4 5MB
  64. 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension.mp4 5MB
  65. 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer.mp4 5MB
  66. 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models.mp4 5MB
  67. 10. How to learn more about NLP/1. What we didn't talk about.mp4 4MB
  68. 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do.mp4 4MB
  69. 9. Write your own article spinner/2. Trigram Model.mp4 4MB
  70. 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization.mp4 4MB
  71. 7. NLTK Exploration/1. NLTK Exploration POS Tagging.mp4 2MB
  72. 5. Build your own spam detector/1. Build your own spam detector - description of data.mp4 2MB
  73. 5. Build your own spam detector/6. Other types of features.mp4 1MB
  74. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-th_TH.srt 40KB
  75. 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-th_TH.srt 35KB
  76. 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-th_TH.srt 35KB
  77. 4. Decrypting Ciphers/4. Genetic Algorithms-de_DE.srt 31KB
  78. 4. Decrypting Ciphers/4. Genetic Algorithms-es_ES.srt 30KB
  79. 3. Machine Learning Basics Review/3. Classification in Code-th_TH.srt 30KB
  80. 3. Machine Learning Basics Review/2. What is Classification-th_TH.srt 30KB
  81. 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-th_TH.srt 30KB
  82. 3. Machine Learning Basics Review/4. What is Regression-th_TH.srt 29KB
  83. 4. Decrypting Ciphers/4. Genetic Algorithms-pl_PL.srt 29KB
  84. 4. Decrypting Ciphers/4. Genetic Algorithms-pt_BR.srt 29KB
  85. 4. Decrypting Ciphers/4. Genetic Algorithms-en_US.srt 28KB
  86. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-th_TH.srt 25KB
  87. 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-th_TH.srt 24KB
  88. 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-de_DE.srt 24KB
  89. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-ro_RO.srt 24KB
  90. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-th_TH.srt 24KB
  91. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-de_DE.srt 24KB
  92. 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-es_ES.srt 24KB
  93. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-pt_BR.srt 23KB
  94. 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-pt_BR.srt 23KB
  95. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-es_ES.srt 23KB
  96. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-id_ID.srt 23KB
  97. 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-pl_PL.srt 23KB
  98. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-pl_PL.srt 23KB
  99. 3. Machine Learning Basics Review/1. Machine Learning Section Introduction-en_US.srt 22KB
  100. 4. Decrypting Ciphers/3. Language Models-de_DE.srt 22KB
  101. 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-th_TH.srt 22KB
  102. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-en_US.srt 22KB
  103. 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-de_DE.srt 22KB
  104. 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-ro_RO.srt 22KB
  105. 9. Write your own article spinner/3. More about Language Models-th_TH.srt 22KB
  106. 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-th_TH.srt 21KB
  107. 5. Build your own spam detector/4. Naive Bayes Concepts-th_TH.srt 21KB
  108. 4. Decrypting Ciphers/3. Language Models-es_ES.srt 21KB
  109. 4. Decrypting Ciphers/3. Language Models-pl_PL.srt 21KB
  110. 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-de_DE.srt 21KB
  111. 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-id_ID.srt 21KB
  112. 4. Decrypting Ciphers/3. Language Models-pt_BR.srt 21KB
  113. 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-es_ES.srt 21KB
  114. 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-pl_PL.srt 21KB
  115. 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-ro_RO.srt 21KB
  116. 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-pt_BR.srt 21KB
  117. 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-es_ES.srt 21KB
  118. 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-pt_BR.srt 20KB
  119. 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-id_ID.srt 20KB
  120. 5. Build your own spam detector/10. SMS Spam in Code-th_TH.srt 20KB
  121. 4. Decrypting Ciphers/3. Language Models-en_US.srt 20KB
  122. 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-pl_PL.srt 20KB
  123. 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-en_US.srt 19KB
  124. 8. Latent Semantic Analysis/2. SVD - The underlying math behind LSA-en_US.srt 19KB
  125. 3. Machine Learning Basics Review/4. What is Regression-de_DE.srt 18KB
  126. 3. Machine Learning Basics Review/3. Classification in Code-ro_RO.srt 18KB
  127. 3. Machine Learning Basics Review/3. Classification in Code-de_DE.srt 18KB
  128. 3. Machine Learning Basics Review/5. Regression in Code-th_TH.srt 18KB
  129. 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-ro_RO.srt 18KB
  130. 3. Machine Learning Basics Review/2. What is Classification-ro_RO.srt 18KB
  131. 3. Machine Learning Basics Review/2. What is Classification-de_DE.srt 18KB
  132. 3. Machine Learning Basics Review/2. What is Classification-es_ES.srt 17KB
  133. 3. Machine Learning Basics Review/3. Classification in Code-es_ES.srt 17KB
  134. 3. Machine Learning Basics Review/4. What is Regression-ro_RO.srt 17KB
  135. 6. Build your own sentiment analyzer/2. Logistic Regression Review-th_TH.srt 17KB
  136. 3. Machine Learning Basics Review/3. Classification in Code-pt_BR.srt 17KB
  137. 3. Machine Learning Basics Review/4. What is Regression-es_ES.srt 17KB
  138. 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-de_DE.srt 17KB
  139. 3. Machine Learning Basics Review/3. Classification in Code-id_ID.srt 17KB
  140. 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-es_ES.srt 17KB
  141. 3. Machine Learning Basics Review/2. What is Classification-pt_BR.srt 17KB
  142. 3. Machine Learning Basics Review/4. What is Regression-pt_BR.srt 17KB
  143. 3. Machine Learning Basics Review/4. What is Regression-id_ID.srt 17KB
  144. 3. Machine Learning Basics Review/3. Classification in Code-pl_PL.srt 17KB
  145. 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-id_ID.srt 17KB
  146. 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-pt_BR.srt 17KB
  147. 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-pl_PL.srt 17KB
  148. 3. Machine Learning Basics Review/4. What is Regression-pl_PL.srt 17KB
  149. 3. Machine Learning Basics Review/2. What is Classification-id_ID.srt 17KB
  150. 3. Machine Learning Basics Review/2. What is Classification-pl_PL.srt 16KB
  151. 3. Machine Learning Basics Review/6. What is a Feature Vector-th_TH.srt 16KB
  152. 3. Machine Learning Basics Review/4. What is Regression-en_US.srt 16KB
  153. 3. Machine Learning Basics Review/3. Classification in Code-en_US.srt 16KB
  154. 3. Machine Learning Basics Review/2. What is Classification-en_US.srt 16KB
  155. 6. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ-en_US.srt 16KB
  156. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-de_DE.srt 16KB
  157. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-ro_RO.srt 16KB
  158. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-id_ID.srt 15KB
  159. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-pt_BR.srt 15KB
  160. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-es_ES.srt 15KB
  161. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-pl_PL.srt 15KB
  162. 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-de_DE.srt 14KB
  163. 5. Build your own spam detector/9. SMS Spam Example-th_TH.srt 14KB
  164. 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-th_TH.srt 14KB
  165. 5. Build your own spam detector/8. What is a Vector (Remedial #2)-th_TH.srt 14KB
  166. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-de_DE.srt 14KB
  167. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-en_US.srt 14KB
  168. 3. Machine Learning Basics Review/11. Section Summary-th_TH.srt 14KB
  169. 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-de_DE.srt 14KB
  170. 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-ro_RO.srt 14KB
  171. 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-es_ES.srt 14KB
  172. 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-pl_PL.srt 14KB
  173. 8. Latent Semantic Analysis/5. Extending LSA-th_TH.srt 14KB
  174. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-ro_RO.srt 14KB
  175. 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-th_TH.srt 14KB
  176. 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-th_TH.srt 14KB
  177. 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-pt_BR.srt 14KB
  178. 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-pt_BR.srt 14KB
  179. 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-es_ES.srt 14KB
  180. 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-id_ID.srt 14KB
  181. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-pt_BR.srt 14KB
  182. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-id_ID.srt 14KB
  183. 6. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression-en_US.srt 13KB
  184. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-es_ES.srt 13KB
  185. 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-ro_RO.srt 13KB
  186. 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-de_DE.srt 13KB
  187. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-pl_PL.srt 13KB
  188. 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-pl_PL.srt 13KB
  189. 9. Write your own article spinner/3. More about Language Models-ro_RO.srt 13KB
  190. 9. Write your own article spinner/3. More about Language Models-de_DE.srt 13KB
  191. 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-th_TH.srt 13KB
  192. 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-de_DE.srt 13KB
  193. 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-pt_BR.srt 13KB
  194. 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-es_ES.srt 13KB
  195. 9. Write your own article spinner/3. More about Language Models-es_ES.srt 13KB
  196. 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-pl_PL.srt 13KB
  197. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-en_US.srt 13KB
  198. 9. Write your own article spinner/3. More about Language Models-pt_BR.srt 13KB
  199. 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-id_ID.srt 13KB
  200. 3. Machine Learning Basics Review/9. Comparing Different Machine Learning Models-en_US.srt 13KB
  201. 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-es_ES.srt 13KB
  202. 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-pt_BR.srt 13KB
  203. 9. Write your own article spinner/3. More about Language Models-pl_PL.srt 13KB
  204. 9. Write your own article spinner/3. More about Language Models-id_ID.srt 13KB
  205. 5. Build your own spam detector/4. Naive Bayes Concepts-de_DE.srt 12KB
  206. 5. Build your own spam detector/4. Naive Bayes Concepts-es_ES.srt 12KB
  207. 3. Machine Learning Basics Review/8. All Data is the Same-th_TH.srt 12KB
  208. 5. Build your own spam detector/4. Naive Bayes Concepts-ro_RO.srt 12KB
  209. 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-pl_PL.srt 12KB
  210. 1. Natural Language Processing - What is it used for/1. Introduction and Outline-de_DE.srt 12KB
  211. 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-ro_RO.srt 12KB
  212. 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-de_DE.srt 12KB
  213. 8. Latent Semantic Analysis/4. What is Latent Semantic Analysis Used For-en_US.srt 12KB
  214. 5. Build your own spam detector/4. Naive Bayes Concepts-pl_PL.srt 12KB
  215. 5. Build your own spam detector/4. Naive Bayes Concepts-pt_BR.srt 12KB
  216. 5. Build your own spam detector/10. SMS Spam in Code-ro_RO.srt 12KB
  217. 5. Build your own spam detector/10. SMS Spam in Code-de_DE.srt 12KB
  218. 9. Write your own article spinner/6. Article Spinner Extension Exercises-th_TH.srt 12KB
  219. 1. Natural Language Processing - What is it used for/3. The Central Message of this Course (Big Picture Perspective)-en_US.srt 12KB
  220. 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-es_ES.srt 12KB
  221. 1. Natural Language Processing - What is it used for/1. Introduction and Outline-es_ES.srt 12KB
  222. 5. Build your own spam detector/10. SMS Spam in Code-es_ES.srt 12KB
  223. 9. Write your own article spinner/3. More about Language Models-en_US.srt 12KB
  224. 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-id_ID.srt 12KB
  225. 5. Build your own spam detector/10. SMS Spam in Code-id_ID.srt 12KB
  226. 5. Build your own spam detector/4. Naive Bayes Concepts-id_ID.srt 12KB
  227. 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-pl_PL.srt 12KB
  228. 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-pt_BR.srt 12KB
  229. 1. Natural Language Processing - What is it used for/1. Introduction and Outline-pl_PL.srt 12KB
  230. 5. Build your own spam detector/10. SMS Spam in Code-pt_BR.srt 12KB
  231. 1. Natural Language Processing - What is it used for/1. Introduction and Outline-pt_BR.srt 12KB
  232. 5. Build your own spam detector/5. AdaBoost Concepts-th_TH.srt 11KB
  233. 5. Build your own spam detector/4. Naive Bayes Concepts-en_US.srt 11KB
  234. 5. Build your own spam detector/10. SMS Spam in Code-pl_PL.srt 11KB
  235. 1. Natural Language Processing - What is it used for/1. Introduction and Outline-en_US.srt 11KB
  236. 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-th_TH.srt 11KB
  237. 4. Decrypting Ciphers/1. Section Introduction-de_DE.srt 11KB
  238. 5. Build your own spam detector/7. Spam Detection FAQ (Remedial #1)-en_US.srt 11KB
  239. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-th_TH.srt 11KB
  240. 5. Build your own spam detector/10. SMS Spam in Code-en_US.srt 11KB
  241. 9. Write your own article spinner/4. Precode Exercises-th_TH.srt 11KB
  242. 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-th_TH.srt 11KB
  243. 4. Decrypting Ciphers/1. Section Introduction-pl_PL.srt 11KB
  244. 3. Machine Learning Basics Review/5. Regression in Code-ro_RO.srt 10KB
  245. 4. Decrypting Ciphers/1. Section Introduction-pt_BR.srt 10KB
  246. 4. Decrypting Ciphers/1. Section Introduction-es_ES.srt 10KB
  247. 3. Machine Learning Basics Review/5. Regression in Code-de_DE.srt 10KB
  248. 6. Build your own sentiment analyzer/2. Logistic Regression Review-ro_RO.srt 10KB
  249. 6. Build your own sentiment analyzer/2. Logistic Regression Review-de_DE.srt 10KB
  250. 3. Machine Learning Basics Review/5. Regression in Code-es_ES.srt 10KB
  251. 3. Machine Learning Basics Review/5. Regression in Code-pt_BR.srt 10KB
  252. 6. Build your own sentiment analyzer/2. Logistic Regression Review-es_ES.srt 10KB
  253. 3. Machine Learning Basics Review/5. Regression in Code-id_ID.srt 10KB
  254. 4. Decrypting Ciphers/7. Code pt 2-de_DE.srt 10KB
  255. 3. Machine Learning Basics Review/5. Regression in Code-pl_PL.srt 10KB
  256. 4. Decrypting Ciphers/1. Section Introduction-en_US.srt 10KB
  257. 6. Build your own sentiment analyzer/2. Logistic Regression Review-pt_BR.srt 10KB
  258. 6. Build your own sentiment analyzer/2. Logistic Regression Review-pl_PL.srt 10KB
  259. 6. Build your own sentiment analyzer/2. Logistic Regression Review-id_ID.srt 10KB
  260. 4. Decrypting Ciphers/7. Code pt 2-es_ES.srt 10KB
  261. 4. Decrypting Ciphers/10. Code pt 5-de_DE.srt 10KB
  262. 4. Decrypting Ciphers/7. Code pt 2-pl_PL.srt 10KB
  263. 4. Decrypting Ciphers/7. Code pt 2-pt_BR.srt 10KB
  264. 3. Machine Learning Basics Review/6. What is a Feature Vector-ro_RO.srt 9KB
  265. 3. Machine Learning Basics Review/5. Regression in Code-en_US.srt 9KB
  266. 3. Machine Learning Basics Review/6. What is a Feature Vector-es_ES.srt 9KB
  267. 6. Build your own sentiment analyzer/2. Logistic Regression Review-en_US.srt 9KB
  268. 3. Machine Learning Basics Review/6. What is a Feature Vector-de_DE.srt 9KB
  269. 4. Decrypting Ciphers/10. Code pt 5-es_ES.srt 9KB
  270. 3. Machine Learning Basics Review/6. What is a Feature Vector-id_ID.srt 9KB
  271. 4. Decrypting Ciphers/12. Section Conclusion-de_DE.srt 9KB
  272. 9. Write your own article spinner/5. Writing an article spinner in Python-de_DE.srt 9KB
  273. 4. Decrypting Ciphers/10. Code pt 5-pt_BR.srt 9KB
  274. 3. Machine Learning Basics Review/6. What is a Feature Vector-pt_BR.srt 9KB
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  276. 9. Write your own article spinner/5. Writing an article spinner in Python-es_ES.srt 9KB
  277. 2. Course Preparation/1. How to Succeed in this Course-de_DE.srt 9KB
  278. 9. Write your own article spinner/5. Writing an article spinner in Python-pt_BR.srt 9KB
  279. 1. Natural Language Processing - What is it used for/2. Why Learn NLP-de_DE.srt 9KB
  280. 1. Natural Language Processing - What is it used for/2. Why Learn NLP-es_ES.srt 9KB
  281. 4. Decrypting Ciphers/10. Code pt 5-pl_PL.srt 9KB
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  283. 9. Write your own article spinner/5. Writing an article spinner in Python-pl_PL.srt 9KB
  284. 2. Course Preparation/1. How to Succeed in this Course-pl_PL.srt 9KB
  285. 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-ro_RO.srt 9KB
  286. 2. Course Preparation/1. How to Succeed in this Course-es_ES.srt 9KB
  287. 1. Natural Language Processing - What is it used for/2. Why Learn NLP-pt_BR.srt 9KB
  288. 5. Build your own spam detector/9. SMS Spam Example-ro_RO.srt 9KB
  289. 5. Build your own spam detector/9. SMS Spam Example-de_DE.srt 9KB
  290. 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-de_DE.srt 9KB
  291. 3. Machine Learning Basics Review/11. Section Summary-ro_RO.srt 9KB
  292. 3. Machine Learning Basics Review/6. What is a Feature Vector-en_US.srt 9KB
  293. 5. Build your own spam detector/9. SMS Spam Example-es_ES.srt 9KB
  294. 4. Decrypting Ciphers/12. Section Conclusion-pl_PL.srt 9KB
  295. 9. Write your own article spinner/5. Writing an article spinner in Python-en_US.srt 9KB
  296. 4. Decrypting Ciphers/12. Section Conclusion-es_ES.srt 8KB
  297. 1. Natural Language Processing - What is it used for/2. Why Learn NLP-pl_PL.srt 8KB
  298. 2. Course Preparation/1. How to Succeed in this Course-pt_BR.srt 8KB
  299. 5. Build your own spam detector/9. SMS Spam Example-pt_BR.srt 8KB
  300. 5. Build your own spam detector/9. SMS Spam Example-id_ID.srt 8KB
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  303. 5. Build your own spam detector/9. SMS Spam Example-pl_PL.srt 8KB
  304. 4. Decrypting Ciphers/10. Code pt 5-en_US.srt 8KB
  305. 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-ro_RO.srt 8KB
  306. 5. Build your own spam detector/8. What is a Vector (Remedial #2)-ro_RO.srt 8KB
  307. 8. Latent Semantic Analysis/5. Extending LSA-de_DE.srt 8KB
  308. 4. Decrypting Ciphers/12. Section Conclusion-pt_BR.srt 8KB
  309. 5. Build your own spam detector/8. What is a Vector (Remedial #2)-es_ES.srt 8KB
  310. 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-de_DE.srt 8KB
  311. 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-de_DE.srt 8KB
  312. 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-id_ID.srt 8KB
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  316. 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-ro_RO.srt 8KB
  317. 1. Natural Language Processing - What is it used for/2. Why Learn NLP-en_US.srt 8KB
  318. 8. Latent Semantic Analysis/5. Extending LSA-es_ES.srt 8KB
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  324. 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-de_DE.srt 8KB
  325. 2. Course Preparation/2. Where to get the code and data-de_DE.srt 8KB
  326. 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-pl_PL.srt 8KB
  327. 5. Build your own spam detector/8. What is a Vector (Remedial #2)-pt_BR.srt 8KB
  328. 3. Machine Learning Basics Review/11. Section Summary-id_ID.srt 8KB
  329. 8. Latent Semantic Analysis/5. Extending LSA-ro_RO.srt 8KB
  330. 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-es_ES.srt 8KB
  331. 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-pt_BR.srt 8KB
  332. 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-pt_BR.srt 8KB
  333. 8. Latent Semantic Analysis/5. Extending LSA-pt_BR.srt 8KB
  334. 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-id_ID.srt 8KB
  335. 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-pl_PL.srt 8KB
  336. 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-es_ES.srt 8KB
  337. 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-pt_BR.srt 8KB
  338. 2. Course Preparation/1. How to Succeed in this Course-en_US.srt 8KB
  339. 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-es_ES.srt 8KB
  340. 8. Latent Semantic Analysis/5. Extending LSA-pl_PL.srt 8KB
  341. 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-pt_BR.srt 8KB
  342. 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-id_ID.srt 8KB
  343. 4. Decrypting Ciphers/12. Section Conclusion-en_US.srt 8KB
  344. 5. Build your own spam detector/8. What is a Vector (Remedial #2)-pl_PL.srt 8KB
  345. 5. Build your own spam detector/8. What is a Vector (Remedial #2)-id_ID.srt 8KB
  346. 5. Build your own spam detector/9. SMS Spam Example-en_US.srt 8KB
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  348. 8. Latent Semantic Analysis/5. Extending LSA-id_ID.srt 8KB
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  351. 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-pl_PL.srt 8KB
  352. 3. Machine Learning Basics Review/10. Machine Learning and Deep Learning Future Topics-en_US.srt 8KB
  353. 14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt 8KB
  354. 3. Machine Learning Basics Review/11. Section Summary-en_US.srt 8KB
  355. 5. Build your own spam detector/8. What is a Vector (Remedial #2)-en_US.srt 8KB
  356. 5. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise-en_US.srt 8KB
  357. 4. Decrypting Ciphers/11. Code pt 6-de_DE.srt 7KB
  358. 3. Machine Learning Basics Review/8. All Data is the Same-de_DE.srt 7KB
  359. 2. Course Preparation/2. Where to get the code and data-pl_PL.srt 7KB
  360. 9. Write your own article spinner/6. Article Spinner Extension Exercises-ro_RO.srt 7KB
  361. 2. Course Preparation/2. Where to get the code and data-es_ES.srt 7KB
  362. 2. Course Preparation/2. Where to get the code and data-pt_BR.srt 7KB
  363. 8. Latent Semantic Analysis/5. Extending LSA-en_US.srt 7KB
  364. 6. Build your own sentiment analyzer/4. Preprocessing Tokens to Vectors-en_US.srt 7KB
  365. 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-th_TH.srt 7KB
  366. 6. Build your own sentiment analyzer/6. Sentiment Analysis Extension-en_US.srt 7KB
  367. 4. Decrypting Ciphers/5. Code Preparation-de_DE.srt 7KB
  368. 9. Write your own article spinner/6. Article Spinner Extension Exercises-de_DE.srt 7KB
  369. 3. Machine Learning Basics Review/8. All Data is the Same-ro_RO.srt 7KB
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  376. 8. Latent Semantic Analysis/3. Latent Semantic Analysis in Python-de_DE.srt 7KB
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  378. 2. Course Preparation/2. Where to get the code and data-en_US.srt 7KB
  379. 9. Write your own article spinner/6. Article Spinner Extension Exercises-pt_BR.srt 7KB
  380. 3. Machine Learning Basics Review/8. All Data is the Same-pl_PL.srt 7KB
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  382. 9. Write your own article spinner/6. Article Spinner Extension Exercises-id_ID.srt 7KB
  383. 8. Latent Semantic Analysis/3. Latent Semantic Analysis in Python-es_ES.srt 7KB
  384. 4. Decrypting Ciphers/5. Code Preparation-es_ES.srt 7KB
  385. 5. Build your own spam detector/5. AdaBoost Concepts-ro_RO.srt 7KB
  386. 4. Decrypting Ciphers/5. Code Preparation-pt_BR.srt 7KB
  387. 4. Decrypting Ciphers/5. Code Preparation-pl_PL.srt 7KB
  388. 5. Build your own spam detector/5. AdaBoost Concepts-de_DE.srt 7KB
  389. 3. Machine Learning Basics Review/8. All Data is the Same-en_US.srt 7KB
  390. 8. Latent Semantic Analysis/3. Latent Semantic Analysis in Python-pl_PL.srt 7KB
  391. 4. Decrypting Ciphers/8. Code pt 3-de_DE.srt 7KB
  392. 4. Decrypting Ciphers/11. Code pt 6-en_US.srt 7KB
  393. 8. Latent Semantic Analysis/3. Latent Semantic Analysis in Python-pt_BR.srt 7KB
  394. 5. Build your own spam detector/5. AdaBoost Concepts-es_ES.srt 7KB
  395. 8. Latent Semantic Analysis/3. Latent Semantic Analysis in Python-en_US.srt 7KB
  396. 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-de_DE.srt 7KB
  397. 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-de_DE.srt 7KB
  398. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-ro_RO.srt 7KB
  399. 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-ro_RO.srt 7KB
  400. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-de_DE.srt 7KB
  401. 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-th_TH.srt 7KB
  402. 5. Build your own spam detector/5. AdaBoost Concepts-pt_BR.srt 7KB
  403. 5. Build your own spam detector/5. AdaBoost Concepts-id_ID.srt 7KB
  404. 4. Decrypting Ciphers/5. Code Preparation-en_US.srt 7KB
  405. 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-pt_BR.srt 7KB
  406. 9. Write your own article spinner/4. Precode Exercises-de_DE.srt 7KB
  407. 4. Decrypting Ciphers/8. Code pt 3-es_ES.srt 7KB
  408. 9. Write your own article spinner/6. Article Spinner Extension Exercises-en_US.srt 6KB
  409. 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-id_ID.srt 6KB
  410. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-id_ID.srt 6KB
  411. 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-es_ES.srt 6KB
  412. 4. Decrypting Ciphers/8. Code pt 3-pt_BR.srt 6KB
  413. 4. Decrypting Ciphers/8. Code pt 3-pl_PL.srt 6KB
  414. 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-ro_RO.srt 6KB
  415. 5. Build your own spam detector/5. AdaBoost Concepts-pl_PL.srt 6KB
  416. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-pt_BR.srt 6KB
  417. 9. Write your own article spinner/4. Precode Exercises-ro_RO.srt 6KB
  418. 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-es_ES.srt 6KB
  419. 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-pt_BR.srt 6KB
  420. 10. How to learn more about NLP/1. What we didn't talk about-th_TH.srt 6KB
  421. 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-id_ID.srt 6KB
  422. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-es_ES.srt 6KB
  423. 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-pl_PL.srt 6KB
  424. 9. Write your own article spinner/4. Precode Exercises-es_ES.srt 6KB
  425. 9. Write your own article spinner/4. Precode Exercises-pt_BR.srt 6KB
  426. 14. Appendix FAQ Finale/1. What is the Appendix-th_TH.srt 6KB
  427. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-pl_PL.srt 6KB
  428. 9. Write your own article spinner/4. Precode Exercises-pl_PL.srt 6KB
  429. 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-pl_PL.srt 6KB
  430. 5. Build your own spam detector/5. AdaBoost Concepts-en_US.srt 6KB
  431. 9. Write your own article spinner/4. Precode Exercises-id_ID.srt 6KB
  432. 6. Build your own sentiment analyzer/3. Preprocessing Tokenization-en_US.srt 6KB
  433. 3. Machine Learning Basics Review/7. Machine Learning is Nothing but Geometry-en_US.srt 6KB
  434. 4. Decrypting Ciphers/8. Code pt 3-en_US.srt 6KB
  435. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3-en_US.srt 6KB
  436. 9. Write your own article spinner/4. Precode Exercises-en_US.srt 6KB
  437. 4. Decrypting Ciphers/9. Code pt 4-de_DE.srt 6KB
  438. 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-th_TH.srt 5KB
  439. 4. Decrypting Ciphers/9. Code pt 4-es_ES.srt 5KB
  440. 4. Decrypting Ciphers/2. Ciphers-de_DE.srt 5KB
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  443. 9. Write your own article spinner/2. Trigram Model-th_TH.srt 5KB
  444. 4. Decrypting Ciphers/2. Ciphers-pt_BR.srt 5KB
  445. 5. Build your own spam detector/11. Suggestion Box-de_DE.srt 5KB
  446. 5. Build your own spam detector/11. Suggestion Box-pt_BR.srt 5KB
  447. 4. Decrypting Ciphers/2. Ciphers-es_ES.srt 5KB
  448. 5. Build your own spam detector/11. Suggestion Box-pl_PL.srt 5KB
  449. 4. Decrypting Ciphers/2. Ciphers-pl_PL.srt 5KB
  450. 5. Build your own spam detector/1. Build your own spam detector - description of data-th_TH.srt 5KB
  451. 5. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code-es_ES.srt 5KB
  452. 4. Decrypting Ciphers/9. Code pt 4-en_US.srt 5KB
  453. 5. Build your own spam detector/11. Suggestion Box-es_ES.srt 5KB
  454. 5. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code-de_DE.srt 5KB
  455. 4. Decrypting Ciphers/2. Ciphers-en_US.srt 5KB
  456. 5. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code-pt_BR.srt 5KB
  457. 5. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code-pl_PL.srt 5KB
  458. 5. Build your own spam detector/11. Suggestion Box-en_US.srt 5KB
  459. 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-de_DE.srt 4KB
  460. 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-ro_RO.srt 4KB
  461. 4. Decrypting Ciphers/6. Code pt 1-de_DE.srt 4KB
  462. 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-es_ES.srt 4KB
  463. 5. Build your own spam detector/2. Build your own spam detector using Naive Bayes and AdaBoost - the code-en_US.srt 4KB
  464. 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-pt_BR.srt 4KB
  465. 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-id_ID.srt 4KB
  466. 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-pl_PL.srt 4KB
  467. 4. Decrypting Ciphers/6. Code pt 1-es_ES.srt 4KB
  468. 7. NLTK Exploration/4. Want more NLTK-th_TH.srt 4KB
  469. 4. Decrypting Ciphers/6. Code pt 1-pt_BR.srt 4KB
  470. 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-es_ES.srt 4KB
  471. 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-ro_RO.srt 4KB
  472. 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-pt_BR.srt 4KB
  473. 4. Decrypting Ciphers/6. Code pt 1-pl_PL.srt 4KB
  474. 6. Build your own sentiment analyzer/1. Description of Sentiment Analyzer-en_US.srt 4KB
  475. 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-de_DE.srt 4KB
  476. 14. Appendix FAQ Finale/1. What is the Appendix-ro_RO.srt 4KB
  477. 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-id_ID.srt 4KB
  478. 4. Decrypting Ciphers/6. Code pt 1-en_US.srt 4KB
  479. 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-pl_PL.srt 4KB
  480. 14. Appendix FAQ Finale/1. What is the Appendix-de_DE.srt 4KB
  481. 10. How to learn more about NLP/1. What we didn't talk about-ro_RO.srt 4KB
  482. 10. How to learn more about NLP/1. What we didn't talk about-de_DE.srt 4KB
  483. 7. NLTK Exploration/1. NLTK Exploration POS Tagging-th_TH.srt 4KB
  484. 10. How to learn more about NLP/1. What we didn't talk about-id_ID.srt 4KB
  485. 10. How to learn more about NLP/1. What we didn't talk about-pt_BR.srt 4KB
  486. 14. Appendix FAQ Finale/1. What is the Appendix-id_ID.srt 4KB
  487. 14. Appendix FAQ Finale/1. What is the Appendix-es_ES.srt 4KB
  488. 10. How to learn more about NLP/1. What we didn't talk about-es_ES.srt 4KB
  489. 9. Write your own article spinner/1. Article Spinning Introduction and Markov Models-en_US.srt 4KB
  490. 14. Appendix FAQ Finale/1. What is the Appendix-pl_PL.srt 4KB
  491. 14. Appendix FAQ Finale/1. What is the Appendix-pt_BR.srt 4KB
  492. 10. How to learn more about NLP/1. What we didn't talk about-pl_PL.srt 4KB
  493. 14. Appendix FAQ Finale/1. What is the Appendix-en_US.srt 4KB
  494. 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-de_DE.srt 4KB
  495. 10. How to learn more about NLP/1. What we didn't talk about-en_US.srt 3KB
  496. 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-es_ES.srt 3KB
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  499. 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-pt_BR.srt 3KB
  500. 2. Course Preparation/3. How to Open Files for Windows Users-de_DE.srt 3KB
  501. 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-pl_PL.srt 3KB
  502. 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-th_TH.srt 3KB
  503. 2. Course Preparation/3. How to Open Files for Windows Users-pl_PL.srt 3KB
  504. 2. Course Preparation/3. How to Open Files for Windows Users-pt_BR.srt 3KB
  505. 5. Build your own spam detector/6. Other types of features-th_TH.srt 3KB
  506. 2. Course Preparation/3. How to Open Files for Windows Users-es_ES.srt 3KB
  507. 8. Latent Semantic Analysis/1. Latent Semantic Analysis - What does it do-en_US.srt 3KB
  508. 9. Write your own article spinner/2. Trigram Model-id_ID.srt 3KB
  509. 9. Write your own article spinner/2. Trigram Model-de_DE.srt 3KB
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  513. 2. Course Preparation/3. How to Open Files for Windows Users-en_US.srt 3KB
  514. 9. Write your own article spinner/2. Trigram Model-pl_PL.srt 3KB
  515. 9. Write your own article spinner/2. Trigram Model-en_US.srt 3KB
  516. 5. Build your own spam detector/1. Build your own spam detector - description of data-ro_RO.srt 3KB
  517. 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-th_TH.srt 3KB
  518. 5. Build your own spam detector/1. Build your own spam detector - description of data-es_ES.srt 3KB
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  524. 7. NLTK Exploration/4. Want more NLTK-pt_BR.srt 3KB
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  526. 7. NLTK Exploration/4. Want more NLTK-id_ID.srt 3KB
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  529. 7. NLTK Exploration/4. Want more NLTK-es_ES.srt 2KB
  530. 7. NLTK Exploration/4. Want more NLTK-en_US.srt 2KB
  531. 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-es_ES.srt 2KB
  532. 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-ro_RO.srt 2KB
  533. 7. NLTK Exploration/1. NLTK Exploration POS Tagging-ro_RO.srt 2KB
  534. 7. NLTK Exploration/1. NLTK Exploration POS Tagging-de_DE.srt 2KB
  535. 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-de_DE.srt 2KB
  536. 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-pt_BR.srt 2KB
  537. 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-id_ID.srt 2KB
  538. 7. NLTK Exploration/1. NLTK Exploration POS Tagging-id_ID.srt 2KB
  539. 7. NLTK Exploration/1. NLTK Exploration POS Tagging-pt_BR.srt 2KB
  540. 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-pl_PL.srt 2KB
  541. 5. Build your own spam detector/6. Other types of features-de_DE.srt 2KB
  542. 7. NLTK Exploration/3. NLTK Exploration Named Entity Recognition-en_US.srt 2KB
  543. 5. Build your own spam detector/6. Other types of features-id_ID.srt 2KB
  544. 5. Build your own spam detector/6. Other types of features-es_ES.srt 2KB
  545. 7. NLTK Exploration/1. NLTK Exploration POS Tagging-pl_PL.srt 2KB
  546. 5. Build your own spam detector/6. Other types of features-ro_RO.srt 2KB
  547. 7. NLTK Exploration/1. NLTK Exploration POS Tagging-es_ES.srt 2KB
  548. 5. Build your own spam detector/6. Other types of features-pt_BR.srt 2KB
  549. 5. Build your own spam detector/6. Other types of features-pl_PL.srt 2KB
  550. 7. NLTK Exploration/1. NLTK Exploration POS Tagging-en_US.srt 2KB
  551. 5. Build your own spam detector/6. Other types of features-en_US.srt 2KB
  552. 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-de_DE.srt 2KB
  553. 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-ro_RO.srt 2KB
  554. 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-id_ID.srt 2KB
  555. 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-es_ES.srt 2KB
  556. 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-pt_BR.srt 2KB
  557. 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-pl_PL.srt 2KB
  558. 7. NLTK Exploration/2. NLTK Exploration Stemming and Lemmatization-en_US.srt 2KB
  559. 4. Decrypting Ciphers/Link to Cipher Notebook.html 235B
  560. 14. Appendix FAQ Finale/[Tutorialsplanet.NET].url 128B
  561. 2. Course Preparation/[Tutorialsplanet.NET].url 128B
  562. [Tutorialsplanet.NET].url 128B
  563. 2. Course Preparation/2. External URLs.txt 75B
  564. 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-de_DE.srt 0B
  565. 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt 0B
  566. 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-es_ES.srt 0B
  567. 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-id_ID.srt 0B
  568. 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-pl_PL.srt 0B
  569. 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-pt_BR.srt 0B
  570. 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-ro_RO.srt 0B
  571. 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-th_TH.srt 0B
  572. 11. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 0B
  573. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-de_DE.srt 0B
  574. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt 0B
  575. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-es_ES.srt 0B
  576. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-id_ID.srt 0B
  577. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-pl_PL.srt 0B
  578. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-pt_BR.srt 0B
  579. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-ro_RO.srt 0B
  580. 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-th_TH.srt 0B
  581. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-de_DE.srt 0B
  582. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt 0B
  583. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-es_ES.srt 0B
  584. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-id_ID.srt 0B
  585. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-pl_PL.srt 0B
  586. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-pt_BR.srt 0B
  587. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-ro_RO.srt 0B
  588. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-th_TH.srt 0B
  589. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-de_DE.srt 0B
  590. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt 0B
  591. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-es_ES.srt 0B
  592. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-id_ID.srt 0B
  593. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-pl_PL.srt 0B
  594. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-pt_BR.srt 0B
  595. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-ro_RO.srt 0B
  596. 13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-th_TH.srt 0B