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[FreeTutorials.Eu] Udemy - NLP - Natural Language Processing with Python

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视频 2019-12-5 22:16 2024-12-23 02:02 233 4.34 GB 78
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FreeTutorials Eu Udemy - NLP - Natural Language Processing with Python

文件列表
  1. 1. Introduction/1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.mp435.68MB
  2. 1. Introduction/3. Curriculum Overview.mp420.27MB
  3. 1. Introduction/4. Installation and Setup Lecture.mp489.08MB
  4. 2. Python Text Basics/1. Introduction to Python Text Basics.mp43.68MB
  5. 2. Python Text Basics/2. Working with Text Files with Python - Part One.mp465.16MB
  6. 2. Python Text Basics/3. Working with Text Files with Python - Part Two.mp4118.48MB
  7. 2. Python Text Basics/4. Working with PDFs.mp473.85MB
  8. 2. Python Text Basics/5. Regular Expressions Part One.mp495.15MB
  9. 2. Python Text Basics/6. Regular Expressions Part Two.mp461.14MB
  10. 2. Python Text Basics/7. Python Text Basics - Assessment Overview.mp420.39MB
  11. 2. Python Text Basics/8. Python Text Basics - Assessment Solutions.mp450.02MB
  12. 3. Natural Language Processing Basics/10. Phrase Matching and Vocabulary - Part One.mp4108.07MB
  13. 3. Natural Language Processing Basics/11. Phrase Matching and Vocabulary - Part Two.mp453.14MB
  14. 3. Natural Language Processing Basics/12. NLP Basics Assessment Overview.mp425.69MB
  15. 3. Natural Language Processing Basics/13. NLP Basics Assessment Solution.mp457.84MB
  16. 3. Natural Language Processing Basics/1. Introduction to Natural Language Processing.mp44.14MB
  17. 3. Natural Language Processing Basics/2. Spacy Setup and Overview.mp456.16MB
  18. 3. Natural Language Processing Basics/3. What is Natural Language Processing.mp419.08MB
  19. 3. Natural Language Processing Basics/4. Spacy Basics.mp4128.3MB
  20. 3. Natural Language Processing Basics/5. Tokenization - Part One.mp476.2MB
  21. 3. Natural Language Processing Basics/6. Tokenization - Part Two.mp445.85MB
  22. 3. Natural Language Processing Basics/7. Stemming.mp451.82MB
  23. 3. Natural Language Processing Basics/8. Lemmatization.mp445.04MB
  24. 3. Natural Language Processing Basics/9. Stop Words.mp437.32MB
  25. 4. Part of Speech Tagging and Named Entity Recognition/1. Introduction to Section on POS and NER.mp43.55MB
  26. 4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.mp4110.02MB
  27. 4. Part of Speech Tagging and Named Entity Recognition/3. Visualizing Part of Speech.mp432.82MB
  28. 4. Part of Speech Tagging and Named Entity Recognition/4. Named Entity Recognition - Part One.mp467.09MB
  29. 4. Part of Speech Tagging and Named Entity Recognition/5. Named Entity Recognition - Part Two.mp463.23MB
  30. 4. Part of Speech Tagging and Named Entity Recognition/6. Visualizing Named Entity Recognition.mp451.64MB
  31. 4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.mp493.7MB
  32. 4. Part of Speech Tagging and Named Entity Recognition/8. Part Of Speech Assessment.mp418.85MB
  33. 4. Part of Speech Tagging and Named Entity Recognition/9. Part Of Speech Assessment - Solutions.mp461.04MB
  34. 5. Text Classification/10. Text Feature Extraction - Code Along - Part Two.mp489.35MB
  35. 5. Text Classification/11. Text Classification Code Along Project.mp466.63MB
  36. 5. Text Classification/12. Text Classification Assessment Overview.mp49.3MB
  37. 5. Text Classification/13. Text Classification Assessment Solutions.mp442.99MB
  38. 5. Text Classification/1. Introduction to Text Classification.mp45.42MB
  39. 5. Text Classification/2. Machine Learning Overview.mp450.72MB
  40. 5. Text Classification/3. Classification Metrics.mp461.93MB
  41. 5. Text Classification/4. Confusion Matrix.mp453.86MB
  42. 5. Text Classification/5. Scikit-Learn Primer - How to Use SciKit-Learn.mp421.39MB
  43. 5. Text Classification/6. Scikit-Learn Primer - Code Along Part One.mp488.28MB
  44. 5. Text Classification/7. Scikit-Learn Primer - Code Along Part Two.mp455.93MB
  45. 5. Text Classification/8. Text Feature Extraction Overview.mp434.92MB
  46. 5. Text Classification/9. Text Feature Extraction - Code Along Implementations.mp4108.18MB
  47. 6. Semantics and Sentiment Analysis/1. Introduction to Semantics and Sentiment Analysis.mp42.19MB
  48. 6. Semantics and Sentiment Analysis/2. Overview of Semantics and Word Vectors.mp440.22MB
  49. 6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.mp4114.71MB
  50. 6. Semantics and Sentiment Analysis/4. Sentiment Analysis Overview.mp430.4MB
  51. 6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.mp491.1MB
  52. 6. Semantics and Sentiment Analysis/6. Sentiment Analysis Code Along Movie Review Project.mp448.72MB
  53. 6. Semantics and Sentiment Analysis/7. Sentiment Analysis Project Assessment.mp425.1MB
  54. 6. Semantics and Sentiment Analysis/8. Sentiment Analysis Project Assessment - Solutions.mp488.91MB
  55. 7. Topic Modeling/1. Introduction to Topic Modeling Section.mp44.28MB
  56. 7. Topic Modeling/2. Overview of Topic Modeling.mp412.94MB
  57. 7. Topic Modeling/3. Latent Dirichlet Allocation Overview.mp460.2MB
  58. 7. Topic Modeling/4. Latent Dirichlet Allocation with Python - Part One.mp459.9MB
  59. 7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.mp4128.4MB
  60. 7. Topic Modeling/6. Non-negative Matrix Factorization Overview.mp441.64MB
  61. 7. Topic Modeling/7. Non-negative Matrix Factorization with Python.mp483.7MB
  62. 7. Topic Modeling/8. Topic Modeling Project - Overview.mp430.68MB
  63. 7. Topic Modeling/9. Topic Modeling Project - Solutions.mp456.93MB
  64. 8. Deep Learning for NLP/10. Text Generation with LSTMS with Keras - Part Three.mp499.53MB
  65. 8. Deep Learning for NLP/11. Chat Bots Overview.mp442.01MB
  66. 8. Deep Learning for NLP/12. Creating Chat Bots with Python - Part One.mp451.22MB
  67. 8. Deep Learning for NLP/13. Creating Chat Bots with Python - Part Two.mp473.33MB
  68. 8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.mp4117.08MB
  69. 8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4143.41MB
  70. 8. Deep Learning for NLP/1. Introduction to Deep Learning for NLP.mp46.89MB
  71. 8. Deep Learning for NLP/2. The Basic Perceptron Model.mp422.15MB
  72. 8. Deep Learning for NLP/3. Introduction to Neural Networks.mp429.45MB
  73. 8. Deep Learning for NLP/4. Keras Basics - Part One.mp490.87MB
  74. 8. Deep Learning for NLP/5. Keras Basics - Part Two.mp437.06MB
  75. 8. Deep Learning for NLP/6. Recurrent Neural Network Overview.mp433.43MB
  76. 8. Deep Learning for NLP/7. LSTMs, GRU, and Text Generation.mp449.25MB
  77. 8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.mp4100.91MB
  78. 8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.mp491.19MB
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