free-course-site.com-udemy-hands-on-natural-language-processing-nlp-using-python

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Files
  1. 1. Introduction to the Course/1. What is NLP.mp4 75.75MB
  2. 1. Introduction to the Course/1. What is NLP.srt 7.65KB
  3. 1. Introduction to the Course/1. What is NLP.vtt 6.67KB
  4. 1. Introduction to the Course/2. Getting the Course Resources.mp4 18.23MB
  5. 1. Introduction to the Course/2. Getting the Course Resources.srt 2.06KB
  6. 1. Introduction to the Course/2. Getting the Course Resources.vtt 1.83KB
  7. 1. Introduction to the Course/3. Getting the Course Resources - Text.html 614B
  8. 10. Word2Vec Analysis/1. Understanding Word Vectors.mp4 160.61MB
  9. 10. Word2Vec Analysis/1. Understanding Word Vectors.srt 16.00KB
  10. 10. Word2Vec Analysis/1. Understanding Word Vectors.vtt 13.98KB
  11. 10. Word2Vec Analysis/2. Importing the data.mp4 54.92MB
  12. 10. Word2Vec Analysis/2. Importing the data.srt 6.47KB
  13. 10. Word2Vec Analysis/2. Importing the data.vtt 5.60KB
  14. 10. Word2Vec Analysis/3. Preparing the data.mp4 38.50MB
  15. 10. Word2Vec Analysis/3. Preparing the data.srt 4.14KB
  16. 10. Word2Vec Analysis/3. Preparing the data.vtt 3.57KB
  17. 10. Word2Vec Analysis/4. Training the Word2Vec Model.mp4 33.81MB
  18. 10. Word2Vec Analysis/4. Training the Word2Vec Model.srt 3.49KB
  19. 10. Word2Vec Analysis/4. Training the Word2Vec Model.vtt 3.02KB
  20. 10. Word2Vec Analysis/5. Testing Model Performance.mp4 54.49MB
  21. 10. Word2Vec Analysis/5. Testing Model Performance.srt 4.94KB
  22. 10. Word2Vec Analysis/5. Testing Model Performance.vtt 4.26KB
  23. 10. Word2Vec Analysis/6. Improving the Model.mp4 108.23MB
  24. 10. Word2Vec Analysis/6. Improving the Model.srt 7.83KB
  25. 10. Word2Vec Analysis/6. Improving the Model.vtt 6.70KB
  26. 10. Word2Vec Analysis/7. Exploring Pre-trained Models.mp4 50.42MB
  27. 10. Word2Vec Analysis/7. Exploring Pre-trained Models.srt 6.74KB
  28. 10. Word2Vec Analysis/7. Exploring Pre-trained Models.vtt 5.92KB
  29. 11. Conclusion/1. Where you go from here.html 727B
  30. 2. Getting the required softwares/1. Installing Anaconda Python.mp4 33.41MB
  31. 2. Getting the required softwares/1. Installing Anaconda Python.srt 4.45KB
  32. 2. Getting the required softwares/1. Installing Anaconda Python.vtt 3.93KB
  33. 2. Getting the required softwares/2. Installing Anaconda Python - Text.html 734B
  34. 2. Getting the required softwares/3. A tour of Spyder IDE.mp4 46.82MB
  35. 2. Getting the required softwares/3. A tour of Spyder IDE.srt 6.09KB
  36. 2. Getting the required softwares/3. A tour of Spyder IDE.vtt 5.31KB
  37. 2. Getting the required softwares/4. How to take this course.html 1.62KB
  38. 3. Python Crash Course/1. Variables and Operations in Python.mp4 60.28MB
  39. 3. Python Crash Course/1. Variables and Operations in Python.srt 9.49KB
  40. 3. Python Crash Course/1. Variables and Operations in Python.vtt 8.27KB
  41. 3. Python Crash Course/10. Introduction to Classes and Objects.mp4 92.37MB
  42. 3. Python Crash Course/10. Introduction to Classes and Objects.srt 9.38KB
  43. 3. Python Crash Course/10. Introduction to Classes and Objects.vtt 8.21KB
  44. 3. Python Crash Course/11. List Comprehension.mp4 165.47MB
  45. 3. Python Crash Course/11. List Comprehension.srt 16.60KB
  46. 3. Python Crash Course/11. List Comprehension.vtt 14.31KB
  47. 3. Python Crash Course/12. Test Your Skills.html 156B
  48. 3. Python Crash Course/2. Conditional Statements.mp4 63.77MB
  49. 3. Python Crash Course/2. Conditional Statements.srt 6.96KB
  50. 3. Python Crash Course/2. Conditional Statements.vtt 6.06KB
  51. 3. Python Crash Course/3. Introduction to Loops.mp4 64.77MB
  52. 3. Python Crash Course/3. Introduction to Loops.srt 9.84KB
  53. 3. Python Crash Course/3. Introduction to Loops.vtt 8.57KB
  54. 3. Python Crash Course/4. Loop Control Statements.mp4 62.02MB
  55. 3. Python Crash Course/4. Loop Control Statements.srt 9.36KB
  56. 3. Python Crash Course/4. Loop Control Statements.vtt 8.15KB
  57. 3. Python Crash Course/5. Python Data Structures - Lists.mp4 129.20MB
  58. 3. Python Crash Course/5. Python Data Structures - Lists.srt 16.03KB
  59. 3. Python Crash Course/5. Python Data Structures - Lists.vtt 13.92KB
  60. 3. Python Crash Course/6. Python Data Structures - Tuples.mp4 60.92MB
  61. 3. Python Crash Course/6. Python Data Structures - Tuples.srt 7.07KB
  62. 3. Python Crash Course/6. Python Data Structures - Tuples.vtt 6.11KB
  63. 3. Python Crash Course/7. Python Data Structures - Dictionaries.mp4 125.07MB
  64. 3. Python Crash Course/7. Python Data Structures - Dictionaries.srt 14.22KB
  65. 3. Python Crash Course/7. Python Data Structures - Dictionaries.vtt 12.40KB
  66. 3. Python Crash Course/8. Console and File IO in Python.mp4 97.00MB
  67. 3. Python Crash Course/8. Console and File IO in Python.srt 9.73KB
  68. 3. Python Crash Course/8. Console and File IO in Python.vtt 8.38KB
  69. 3. Python Crash Course/9. Introduction to Functions.mp4 76.76MB
  70. 3. Python Crash Course/9. Introduction to Functions.srt 8.29KB
  71. 3. Python Crash Course/9. Introduction to Functions.vtt 7.21KB
  72. 4. Regular Expressions/1. Introduction to Regular Expressions.mp4 62.85MB
  73. 4. Regular Expressions/1. Introduction to Regular Expressions.srt 6.12KB
  74. 4. Regular Expressions/1. Introduction to Regular Expressions.vtt 5.39KB
  75. 4. Regular Expressions/2. Finding Patterns in Text Part 1.mp4 79.50MB
  76. 4. Regular Expressions/2. Finding Patterns in Text Part 1.srt 10.92KB
  77. 4. Regular Expressions/2. Finding Patterns in Text Part 1.vtt 9.48KB
  78. 4. Regular Expressions/3. Finding Patterns in Text Part 2.mp4 81.46MB
  79. 4. Regular Expressions/3. Finding Patterns in Text Part 2.srt 9.94KB
  80. 4. Regular Expressions/3. Finding Patterns in Text Part 2.vtt 8.62KB
  81. 4. Regular Expressions/4. Substituting Patterns in Text.mp4 54.25MB
  82. 4. Regular Expressions/4. Substituting Patterns in Text.srt 8.07KB
  83. 4. Regular Expressions/4. Substituting Patterns in Text.vtt 6.96KB
  84. 4. Regular Expressions/5. Shorthand Character Classes.mp4 182.43MB
  85. 4. Regular Expressions/5. Shorthand Character Classes.srt 17.29KB
  86. 4. Regular Expressions/5. Shorthand Character Classes.vtt 14.99KB
  87. 4. Regular Expressions/6. Character Ranges - Text.html 1.20KB
  88. 4. Regular Expressions/7. Preprocessing using Regex.mp4 71.64MB
  89. 4. Regular Expressions/7. Preprocessing using Regex.srt 7.98KB
  90. 4. Regular Expressions/7. Preprocessing using Regex.vtt 6.92KB
  91. 4. Regular Expressions/8. Test Your Skills.html 156B
  92. 5. Numpy and Pandas/1. Introduction to Numpy.mp4 280.68MB
  93. 5. Numpy and Pandas/1. Introduction to Numpy.srt 27.10KB
  94. 5. Numpy and Pandas/1. Introduction to Numpy.vtt 23.46KB
  95. 5. Numpy and Pandas/2. Introduction to Pandas.mp4 251.62MB
  96. 5. Numpy and Pandas/2. Introduction to Pandas.srt 28.61KB
  97. 5. Numpy and Pandas/2. Introduction to Pandas.vtt 24.73KB
  98. 6. NLP Core/1. Installing NLTK in Python.mp4 29.31MB
  99. 6. NLP Core/1. Installing NLTK in Python.srt 5.32KB
  100. 6. NLP Core/1. Installing NLTK in Python.vtt 4.72KB
  101. 6. NLP Core/10. Named Entity Recognition.mp4 56.08MB
  102. 6. NLP Core/10. Named Entity Recognition.srt 6.84KB
  103. 6. NLP Core/10. Named Entity Recognition.vtt 6.01KB
  104. 6. NLP Core/11. Text Modelling using Bag of Words Model.mp4 146.10MB
  105. 6. NLP Core/11. Text Modelling using Bag of Words Model.srt 14.71KB
  106. 6. NLP Core/11. Text Modelling using Bag of Words Model.vtt 12.76KB
  107. 6. NLP Core/12. Building the BOW Model Part 1.mp4 88.59MB
  108. 6. NLP Core/12. Building the BOW Model Part 1.srt 5.45KB
  109. 6. NLP Core/12. Building the BOW Model Part 1.vtt 4.77KB
  110. 6. NLP Core/13. Building the BOW Model Part 2.mp4 82.17MB
  111. 6. NLP Core/13. Building the BOW Model Part 2.srt 6.01KB
  112. 6. NLP Core/13. Building the BOW Model Part 2.vtt 5.25KB
  113. 6. NLP Core/14. Building the BOW Model Part 3.mp4 77.00MB
  114. 6. NLP Core/14. Building the BOW Model Part 3.srt 5.72KB
  115. 6. NLP Core/14. Building the BOW Model Part 3.vtt 4.96KB
  116. 6. NLP Core/15. Building the BOW Model Part 4.mp4 108.07MB
  117. 6. NLP Core/15. Building the BOW Model Part 4.srt 8.44KB
  118. 6. NLP Core/15. Building the BOW Model Part 4.vtt 7.36KB
  119. 6. NLP Core/16. Text Modelling using TF-IDF Model.mp4 223.04MB
  120. 6. NLP Core/16. Text Modelling using TF-IDF Model.srt 22.05KB
  121. 6. NLP Core/16. Text Modelling using TF-IDF Model.vtt 19.17KB
  122. 6. NLP Core/17. Building the TF-IDF Model Part 1.mp4 109.88MB
  123. 6. NLP Core/17. Building the TF-IDF Model Part 1.srt 8.21KB
  124. 6. NLP Core/17. Building the TF-IDF Model Part 1.vtt 7.19KB
  125. 6. NLP Core/18. Building the TF-IDF Model Part 2.mp4 122.73MB
  126. 6. NLP Core/18. Building the TF-IDF Model Part 2.srt 9.42KB
  127. 6. NLP Core/18. Building the TF-IDF Model Part 2.vtt 8.23KB
  128. 6. NLP Core/19. Building the TF-IDF Model Part 3.mp4 109.84MB
  129. 6. NLP Core/19. Building the TF-IDF Model Part 3.srt 8.37KB
  130. 6. NLP Core/19. Building the TF-IDF Model Part 3.vtt 7.32KB
  131. 6. NLP Core/2. Tokenizing Words and Sentences.mp4 74.63MB
  132. 6. NLP Core/2. Tokenizing Words and Sentences.srt 5.34KB
  133. 6. NLP Core/2. Tokenizing Words and Sentences.vtt 4.67KB
  134. 6. NLP Core/20. Building the TF-IDF Model Part 4.mp4 64.61MB
  135. 6. NLP Core/20. Building the TF-IDF Model Part 4.srt 5.27KB
  136. 6. NLP Core/20. Building the TF-IDF Model Part 4.vtt 4.58KB
  137. 6. NLP Core/21. Understanding the N-Gram Model.mp4 259.18MB
  138. 6. NLP Core/21. Understanding the N-Gram Model.srt 27.05KB
  139. 6. NLP Core/21. Understanding the N-Gram Model.vtt 23.50KB
  140. 6. NLP Core/22. Building Character N-Gram Model.mp4 185.73MB
  141. 6. NLP Core/22. Building Character N-Gram Model.srt 20.24KB
  142. 6. NLP Core/22. Building Character N-Gram Model.vtt 17.56KB
  143. 6. NLP Core/23. Building Word N-Gram Model.mp4 160.51MB
  144. 6. NLP Core/23. Building Word N-Gram Model.srt 14.76KB
  145. 6. NLP Core/23. Building Word N-Gram Model.vtt 12.88KB
  146. 6. NLP Core/24. Understanding Latent Semantic Analysis.mp4 194.47MB
  147. 6. NLP Core/24. Understanding Latent Semantic Analysis.srt 19.28KB
  148. 6. NLP Core/24. Understanding Latent Semantic Analysis.vtt 16.77KB
  149. 6. NLP Core/25. LSA in Python Part 1.mp4 295.56MB
  150. 6. NLP Core/25. LSA in Python Part 1.srt 25.90KB
  151. 6. NLP Core/25. LSA in Python Part 1.vtt 22.33KB
  152. 6. NLP Core/26. LSA in Python Part 2.mp4 190.24MB
  153. 6. NLP Core/26. LSA in Python Part 2.srt 14.85KB
  154. 6. NLP Core/26. LSA in Python Part 2.vtt 12.89KB
  155. 6. NLP Core/27. Word Synonyms and Antonyms using NLTK.mp4 117.98MB
  156. 6. NLP Core/27. Word Synonyms and Antonyms using NLTK.srt 13.15KB
  157. 6. NLP Core/27. Word Synonyms and Antonyms using NLTK.vtt 11.44KB
  158. 6. NLP Core/28. Word Negation Tracking in Python Part 1.mp4 90.71MB
  159. 6. NLP Core/28. Word Negation Tracking in Python Part 1.srt 12.67KB
  160. 6. NLP Core/28. Word Negation Tracking in Python Part 1.vtt 11.04KB
  161. 6. NLP Core/29. Word Negation Tracking in Python Part 2.mp4 58.63MB
  162. 6. NLP Core/29. Word Negation Tracking in Python Part 2.srt 8.12KB
  163. 6. NLP Core/29. Word Negation Tracking in Python Part 2.vtt 7.07KB
  164. 6. NLP Core/3. How tokenization works - Text.html 1.60KB
  165. 6. NLP Core/4. Introduction to Stemming and Lemmatization.mp4 107.55MB
  166. 6. NLP Core/4. Introduction to Stemming and Lemmatization.srt 10.05KB
  167. 6. NLP Core/4. Introduction to Stemming and Lemmatization.vtt 8.79KB
  168. 6. NLP Core/5. Stemming using NLTK.mp4 133.54MB
  169. 6. NLP Core/5. Stemming using NLTK.srt 8.47KB
  170. 6. NLP Core/5. Stemming using NLTK.vtt 7.40KB
  171. 6. NLP Core/6. Lemmatization using NLTK.mp4 76.47MB
  172. 6. NLP Core/6. Lemmatization using NLTK.srt 4.48KB
  173. 6. NLP Core/6. Lemmatization using NLTK.vtt 3.85KB
  174. 6. NLP Core/7. Stop word removal using NLTK.mp4 139.80MB
  175. 6. NLP Core/7. Stop word removal using NLTK.srt 8.58KB
  176. 6. NLP Core/7. Stop word removal using NLTK.vtt 7.52KB
  177. 6. NLP Core/8. Parts Of Speech Tagging.mp4 109.11MB
  178. 6. NLP Core/8. Parts Of Speech Tagging.srt 7.83KB
  179. 6. NLP Core/8. Parts Of Speech Tagging.vtt 6.77KB
  180. 6. NLP Core/9. POS Tag Meanings.html 3.32KB
  181. 7. Project 1 - Text Classification/1. Getting the data for Text Classification.mp4 62.12MB
  182. 7. Project 1 - Text Classification/1. Getting the data for Text Classification.srt 7.61KB
  183. 7. Project 1 - Text Classification/1. Getting the data for Text Classification.vtt 6.68KB
  184. 7. Project 1 - Text Classification/10. Training our classifier.mp4 30.69MB
  185. 7. Project 1 - Text Classification/10. Training our classifier.srt 2.30KB
  186. 7. Project 1 - Text Classification/10. Training our classifier.vtt 2.01KB
  187. 7. Project 1 - Text Classification/11. Testing Model performance.mp4 84.05MB
  188. 7. Project 1 - Text Classification/11. Testing Model performance.srt 7.19KB
  189. 7. Project 1 - Text Classification/11. Testing Model performance.vtt 6.25KB
  190. 7. Project 1 - Text Classification/12. Saving our Model.mp4 96.63MB
  191. 7. Project 1 - Text Classification/12. Saving our Model.srt 7.75KB
  192. 7. Project 1 - Text Classification/12. Saving our Model.vtt 6.78KB
  193. 7. Project 1 - Text Classification/13. Importing and using our Model.mp4 56.12MB
  194. 7. Project 1 - Text Classification/13. Importing and using our Model.srt 4.98KB
  195. 7. Project 1 - Text Classification/13. Importing and using our Model.vtt 4.33KB
  196. 7. Project 1 - Text Classification/2. Getting the data for Text Classification - Text.html 806B
  197. 7. Project 1 - Text Classification/3. Importing the dataset.mp4 57.53MB
  198. 7. Project 1 - Text Classification/3. Importing the dataset.srt 6.62KB
  199. 7. Project 1 - Text Classification/3. Importing the dataset.vtt 5.76KB
  200. 7. Project 1 - Text Classification/4. Persisting the dataset.mp4 71.63MB
  201. 7. Project 1 - Text Classification/4. Persisting the dataset.srt 6.46KB
  202. 7. Project 1 - Text Classification/4. Persisting the dataset.vtt 5.67KB
  203. 7. Project 1 - Text Classification/5. Preprocessing the data.mp4 67.38MB
  204. 7. Project 1 - Text Classification/5. Preprocessing the data.srt 6.02KB
  205. 7. Project 1 - Text Classification/5. Preprocessing the data.vtt 5.23KB
  206. 7. Project 1 - Text Classification/6. Transforming data into BOW Model.mp4 114.68MB
  207. 7. Project 1 - Text Classification/6. Transforming data into BOW Model.srt 9.74KB
  208. 7. Project 1 - Text Classification/6. Transforming data into BOW Model.vtt 8.57KB
  209. 7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.mp4 47.38MB
  210. 7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.srt 3.86KB
  211. 7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.vtt 3.35KB
  212. 7. Project 1 - Text Classification/8. Creating training and test set.mp4 71.77MB
  213. 7. Project 1 - Text Classification/8. Creating training and test set.srt 5.70KB
  214. 7. Project 1 - Text Classification/8. Creating training and test set.vtt 4.98KB
  215. 7. Project 1 - Text Classification/9. Understanding Logistic Regression.mp4 201.58MB
  216. 7. Project 1 - Text Classification/9. Understanding Logistic Regression.srt 20.38KB
  217. 7. Project 1 - Text Classification/9. Understanding Logistic Regression.vtt 17.87KB
  218. 8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.mp4 28.34MB
  219. 8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.srt 4.95KB
  220. 8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.vtt 4.33KB
  221. 8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.mp4 35.09MB
  222. 8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.srt 5.27KB
  223. 8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.vtt 4.60KB
  224. 8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.mp4 46.71MB
  225. 8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.srt 4.56KB
  226. 8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.vtt 3.98KB
  227. 8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.mp4 80.92MB
  228. 8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.srt 6.73KB
  229. 8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.vtt 5.88KB
  230. 8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.mp4 36.03MB
  231. 8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.srt 2.53KB
  232. 8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.vtt 2.20KB
  233. 8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.mp4 133.06MB
  234. 8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.srt 6.98KB
  235. 8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.vtt 6.04KB
  236. 8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.mp4 38.12MB
  237. 8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.srt 2.28KB
  238. 8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.vtt 2.00KB
  239. 8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.mp4 102.74MB
  240. 8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.srt 8.69KB
  241. 8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.vtt 7.57KB
  242. 9. Project 3 - Text Summarization/1. Understanding Text Summarization.mp4 95.68MB
  243. 9. Project 3 - Text Summarization/1. Understanding Text Summarization.srt 9.76KB
  244. 9. Project 3 - Text Summarization/1. Understanding Text Summarization.vtt 8.51KB
  245. 9. Project 3 - Text Summarization/2. Fetching article data from the web.mp4 43.91MB
  246. 9. Project 3 - Text Summarization/2. Fetching article data from the web.srt 5.89KB
  247. 9. Project 3 - Text Summarization/2. Fetching article data from the web.vtt 5.14KB
  248. 9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.mp4 94.27MB
  249. 9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.srt 9.46KB
  250. 9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.vtt 8.18KB
  251. 9. Project 3 - Text Summarization/4. Preprocessing the data.mp4 48.27MB
  252. 9. Project 3 - Text Summarization/4. Preprocessing the data.srt 4.05KB
  253. 9. Project 3 - Text Summarization/4. Preprocessing the data.vtt 3.56KB
  254. 9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.mp4 50.67MB
  255. 9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.srt 4.47KB
  256. 9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.vtt 3.92KB
  257. 9. Project 3 - Text Summarization/6. Building the histogram.mp4 58.55MB
  258. 9. Project 3 - Text Summarization/6. Building the histogram.srt 5.45KB
  259. 9. Project 3 - Text Summarization/6. Building the histogram.vtt 4.75KB
  260. 9. Project 3 - Text Summarization/7. Calculating the sentence scores.mp4 99.83MB
  261. 9. Project 3 - Text Summarization/7. Calculating the sentence scores.srt 7.92KB
  262. 9. Project 3 - Text Summarization/7. Calculating the sentence scores.vtt 6.96KB
  263. 9. Project 3 - Text Summarization/8. Getting the summary.mp4 76.94MB
  264. 9. Project 3 - Text Summarization/8. Getting the summary.srt 5.95KB
  265. 9. Project 3 - Text Summarization/8. Getting the summary.vtt 5.16KB
  266. FreeCourseSite.com-Udemy - Hands On Natural Language Processing (NLP) using Python.torrent 104.27KB
  267. FreeCourseSite.com-Udemy - Hands On Natural Language Processing (NLP) using Python_torrent.txt 32.97KB
  268. [CourseClub.NET].url 123B
  269. [FCS Forum].url 133B
  270. [FreeCourseSite.com].url 127B
  271. __ia_thumb.jpg 4.37KB
  272. free-course-site.com-udemy-hands-on-natural-language-processing-nlp-using-python_meta.sqlite 11.00KB
  273. free-course-site.com-udemy-hands-on-natural-language-processing-nlp-using-python_meta.xml 868B