[Udemy] Natural Language Processing (NLP) in Python with 8 Projects (11.2021)

Udemy Natural Language Processing NLP in Python with 8 Projects 11 2021

File Size： 4.83 GB

Creat Time： 2024-06-03 23:34:01

Last Active： 2024-11-21 11:50:01

Active Degree： 93

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File List：

  1. 09 - Deep Learning Basics/002 Activation Function.mp4 160.49 MB
  2. 10 - Word Embeddings/001 Introduction to Word Embedding.mp4 149.87 MB
  3. 01 - Welcome/003 Introduction to NLP.mp4 136.75 MB
  4. 13 - Project 8 _ Automatic Text Generation using TensorFlow, Keras and LSTM/001 Text Generation Part I.mp4 117.02 MB
  5. 14 - FastText Library for Text Classification/006 Text Classification with Fasttext.mp4 108.93 MB
  6. 09 - Deep Learning Basics/001 The Neuron.mp4 104.48 MB
  7. 11 - Project 6 _ Text Classification with CNN/001 Convolutional Neural Network Part 1.mp4 98.62 MB
  8. 11 - Project 6 _ Text Classification with CNN/003 Spam Detection with CNN - I.mp4 93.63 MB
  9. 17 - Data Visualization with Matplotlib/006 Matplotlib Part 4.mp4 93.39 MB
  10. 17 - Data Visualization with Matplotlib/001 Matplotlib Part 1 - Functional Method.mp4 92.81 MB
  11. 03 - Basics of Natural Language Processing/008 Vocabulary and Matching Part - 1.mp4 86.44 MB
  12. 03 - Basics of Natural Language Processing/012 Named Entity Recognition.mp4 84.86 MB
  13. 11 - Project 6 _ Text Classification with CNN/002 Convolutional Neural Network Part 2.mp4 83.09 MB
  14. 02 - Installation & Setup/001 Course Installation.mp4 83.04 MB
  15. 06 - Project 3 _ IMDB, Amazon and Yelp review Classification/001 Review Classification Part -1.mp4 81.35 MB
  16. 16 - Data analysis with Pandas/003 DataFrames Part 1.mp4 79.86 MB
  17. 11 - Project 6 _ Text Classification with CNN/004 Spam Detection with CNN - II.mp4 79.84 MB
  18. 09 - Deep Learning Basics/004 Gradient Descent and Back-Propagation.mp4 76.59 MB
  19. 08 - Project 5 _ Twitter sentiment Analysis/003 Find Setiment from Tweets.mp4 76.02 MB
  20. 03 - Basics of Natural Language Processing/002 Tokenization Basic Part - 1.mp4 74.85 MB
  21. 03 - Basics of Natural Language Processing/009 Vocabulary and Matching Part - 2 (Rule Based).mp4 74.56 MB
  22. 06 - Project 3 _ IMDB, Amazon and Yelp review Classification/002 Review Classification Part - 2.mp4 74.14 MB
  23. 10 - Word Embeddings/002 Train Model for Embedding - I.mp4 73.15 MB
  24. 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/004 Bag of Word Model.mp4 71.72 MB
  25. 16 - Data analysis with Pandas/002 Pandas Series.mp4 71.67 MB
  26. 12 - Project 7 _ Text Classification with RNN/004 Spam Detection with RNN.mp4 65.90 MB
  27. 04 - Project 1 _ Spam Message Classification/004 Apply Random Forest.mp4 65.42 MB
  28. 10 - Word Embeddings/004 Embeddings with Pretrained model.mp4 65.27 MB
  29. 07 - Project 4 _ Automated Text Summarization/001 Importing the libraries and Dataset.mp4 62.57 MB
  30. 12 - Project 7 _ Text Classification with RNN/003 LSTM and GRU.mp4 61.30 MB
  31. 18 - Appendix/002 Text File Processing - II.mp4 59.35 MB
  32. 07 - Project 4 _ Automated Text Summarization/003 Calculate Sentence Score.mp4 58.68 MB
  33. 16 - Data analysis with Pandas/008 Merging, Joining and Concatenating DataFrames.mp4 58.61 MB
  34. 16 - Data analysis with Pandas/005 DataFrames Part 3.mp4 57.78 MB
  35. 03 - Basics of Natural Language Processing/011 Parts of Speech Tagging.mp4 57.02 MB
  36. 16 - Data analysis with Pandas/004 DataFrames Part 2.mp4 56.61 MB
  37. 18 - Appendix/003 Text File Processing - III.mp4 56.09 MB
  38. 15 - Data analysis with Numpy/003 Numpy Arrays Part 2.mp4 55.26 MB
  39. 17 - Data Visualization with Matplotlib/004 Matplotlib Part 2 - Figure size, Aspect ratio and DPI.mp4 55.23 MB
  40. 03 - Basics of Natural Language Processing/013 Sentence Segmentation.mp4 54.20 MB
  41. 09 - Deep Learning Basics/003 Cost Function.mp4 53.01 MB
  42. 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/003 Cleaning Text Data with NLTK - 2.mp4 52.49 MB
  43. 10 - Word Embeddings/003 Train Model for Embedding - II.mp4 51.69 MB
  44. 03 - Basics of Natural Language Processing/003 Tokenization Basic Part - 2.mp4 51.51 MB
  45. 04 - Project 1 _ Spam Message Classification/002 Data Exploration & Preprocessing.mp4 51.50 MB
  46. 17 - Data Visualization with Matplotlib/005 Matplotlib Part 3.mp4 51.26 MB
  47. 05 - Project 2 _ Restaurant Review Prediction (Good or bad)/002 Cleaning Text Data with NLTK - 1.mp4 50.80 MB
  48. 08 - Project 5 _ Twitter sentiment Analysis/001 Setting up Twitter Developer application.mp4 50.45 MB
  49. 16 - Data analysis with Pandas/007 Groupby Method.mp4 50.28 MB
  50. 03 - Basics of Natural Language Processing/001 Section _ Introduction.mp4 50.15 MB
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