589689.xyz

[] Udemy - U&P AI - Basics of NLP using NLTK

  • 收录时间:2018-12-18 06:01:52
  • 文件大小:151MB
  • 下载次数:77
  • 最近下载:2021-01-16 07:51:00
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 7. Gender Identifier/2. P - Gender Identifier.mp4 16MB
  2. 8. Sentiment Analyzer/2. P - Sentiment Analyzer.mp4 16MB
  3. 3. Converting Words to their Base Forms/2. P - Stemming.mp4 10MB
  4. 6. Category Predictor/2. P - Category Predictor.mp4 10MB
  5. 4. Chunks/2. P - Chunks.mp4 10MB
  6. 9. Topic Modeling/2. P - Topic Modeling.mp4 9MB
  7. 5. Bag Of Words/2. P - Bag Of Words.mp4 9MB
  8. 6. Category Predictor/1. U - Category Predictor.mp4 9MB
  9. 1. Introduction and Installation/3. Installation.mp4 7MB
  10. 5. Bag Of Words/1. U - Bag Of Words.mp4 7MB
  11. 3. Converting Words to their Base Forms/4. P - Lemmatization.mp4 7MB
  12. 9. Topic Modeling/1. U - Topic Modeling.mp4 5MB
  13. 2. Tokenization/2. P - Tokenization.mp4 5MB
  14. 1. Introduction and Installation/1. Introduction to NLP.mp4 4MB
  15. 3. Converting Words to their Base Forms/1. U - Stemming.mp4 4MB
  16. 10. Summary/1. Summary.mp4 4MB
  17. 4. Chunks/1. U - Chunks.mp4 4MB
  18. 8. Sentiment Analyzer/1. U - Sentiment Analyzer.mp4 4MB
  19. 1. Introduction and Installation/2. By The End Of This Course.mp4 3MB
  20. 3. Converting Words to their Base Forms/3. U - Lemmatization.mp4 3MB
  21. 2. Tokenization/1. U - Tokenization.mp4 2MB
  22. 7. Gender Identifier/1. U - Gender Identifier.mp4 2MB
  23. 1. Introduction and Installation/4. Tips.mp4 1MB
  24. 1. Introduction and Installation/1.1 1 - Introduction.pdf.pdf 92KB
  25. 7. Gender Identifier/2. P - Gender Identifier.vtt 5KB
  26. 8. Sentiment Analyzer/2. P - Sentiment Analyzer.vtt 4KB
  27. 9. Topic Modeling/2. P - Topic Modeling.vtt 4KB
  28. 6. Category Predictor/1. U - Category Predictor.vtt 4KB
  29. 5. Bag Of Words/1. U - Bag Of Words.vtt 4KB
  30. 6. Category Predictor/2. P - Category Predictor.vtt 4KB
  31. 4. Chunks/2. P - Chunks.vtt 3KB
  32. 3. Converting Words to their Base Forms/2. P - Stemming.vtt 3KB
  33. 5. Bag Of Words/2. P - Bag Of Words.vtt 3KB
  34. 1. Introduction and Installation/1. Introduction to NLP.vtt 3KB
  35. 1. Introduction and Installation/3. Installation.vtt 3KB
  36. 9. Topic Modeling/1. U - Topic Modeling.vtt 2KB
  37. 8. Sentiment Analyzer/2.1 sentiment_analyzer.py.py 2KB
  38. 9. Topic Modeling/2.2 topic_modeler.py.py 2KB
  39. 3. Converting Words to their Base Forms/4. P - Lemmatization.vtt 2KB
  40. 8. Sentiment Analyzer/1. U - Sentiment Analyzer.vtt 2KB
  41. 6. Category Predictor/2.1 category_predictor.py.py 2KB
  42. 3. Converting Words to their Base Forms/1. U - Stemming.vtt 2KB
  43. 4. Chunks/1. U - Chunks.vtt 2KB
  44. 7. Gender Identifier/2.1 gender_identifier.py.py 2KB
  45. 2. Tokenization/2. P - Tokenization.vtt 2KB
  46. 3. Converting Words to their Base Forms/3. U - Lemmatization.vtt 1KB
  47. 1. Introduction and Installation/2. By The End Of This Course.vtt 1KB
  48. 5. Bag Of Words/2.1 bag_of_words.py.py 1KB
  49. 10. Summary/1. Summary.vtt 1KB
  50. 9. Topic Modeling/2.1 data.txt.txt 1KB
  51. 2. Tokenization/1. U - Tokenization.vtt 1019B
  52. 7. Gender Identifier/1. U - Gender Identifier.vtt 989B
  53. 4. Chunks/2.1 text_chunker.py.py 876B
  54. 3. Converting Words to their Base Forms/2.1 stemmer.py.py 858B
  55. 3. Converting Words to their Base Forms/4.1 lemmatizer.py.py 723B
  56. 2. Tokenization/2.1 tokenizer.py.py 515B
  57. 1. Introduction and Installation/4. Tips.vtt 284B
  58. [FCS Forum].url 133B
  59. [FreeCourseSite.com].url 127B
  60. [CourseClub.NET].url 123B