Natural Language Processing - Probability Models in Python


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File Size:   807.72 MB
Creat Time:   2024-08-03
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Last Active:   2024-11-21
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Tags:    Natural Language Processing - Probability Models in Python
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File List

  1. Chapter 3 Spam Detection/006. Spam Detection in Python.mp4 54.84 MB
  2. Chapter 5 Text Summarization/008. TextRank in Python (Advanced).mp4 39.95 MB
  3. Chapter 5 Text Summarization/004. Text Summarization in Python.mp4 38.14 MB
  4. Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.mp4 37.75 MB
  5. Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 35.72 MB
  6. Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).mp4 34.92 MB
  7. Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 32.31 MB
  8. Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).mp4 30.33 MB
  9. Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 29.89 MB
  10. Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.mp4 27.38 MB
  11. Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 27.32 MB
  12. Chapter 3 Spam Detection/002. Naive Bayes Intuition.mp4 26.83 MB
  13. Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 26.78 MB
  14. Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.mp4 25.53 MB
  15. Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).mp4 25.27 MB
  16. Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).mp4 24.30 MB
  17. Chapter 5 Text Summarization/005. TextRank Intuition.mp4 21.78 MB
  18. Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).mp4 21.41 MB
  19. Chapter 4 Sentiment Analysis/004. Logistic Regression Training and Interpretation.mp4 20.92 MB
  20. Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.mp4 20.34 MB
  21. Chapter 1 Welcome/001. Introduction and Outline.mp4 19.44 MB
  22. Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/003. LSA LSI Applying SVD to NLP.mp4 17.90 MB
  23. Chapter 6 Topic Modeling/008. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp4 17.00 MB
  24. Chapter 3 Spam Detection/001. Spam Detection - Problem Description.mp4 15.46 MB
  25. Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/005. LSA LSI Exercises.mp4 14.68 MB
  26. Chapter 4 Sentiment Analysis/003. Multiclass Logistic Regression (pt 2).mp4 13.15 MB
  27. Chapter 5 Text Summarization/002. Text Summarization Using Vectors.mp4 13.08 MB
  28. Chapter 5 Text Summarization/001. Text Summarization Section Introduction.mp4 12.94 MB
  29. Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/001. LSA LSI Section Introduction.mp4 10.01 MB
  30. Chapter 5 Text Summarization/010. Text Summarization Section Summary.mp4 9.31 MB
  31. Chapter 4 Sentiment Analysis/005. Sentiment Analysis - Exercise Prompt.mp4 8.66 MB
  32. Chapter 6 Topic Modeling/001. Topic Modeling Section Introduction.mp4 8.57 MB
  33. Chapter 6 Topic Modeling/003. LDA - Code Preparation.mp4 7.73 MB
  34. Chapter 2 Getting Set Up/001. Where To Get the Code.mp4 7.19 MB
  35. Chapter 2 Getting Set Up/002. How To Succeed in This Course.mp4 6.48 MB
  36. Chapter 6 Topic Modeling/009. Topic Modeling Section Summary.mp4 4.54 MB
  37. Chapter 3 Spam Detection/003. Spam Detection - Exercise Prompt.mp4 4.40 MB
  38. Chapter 6 Topic Modeling/004. LDA - Maybe Useful Picture (Optional).mp4 4.20 MB
  39. Chapter 5 Text Summarization/003. Text Summarization Exercise Prompt.mp4 4.03 MB
  40. Chapter 5 Text Summarization/007. TextRank Exercise Prompt (Advanced).mp4 3.48 MB
  41. Chapter 1 Welcome/002. Special Offer.mp4 3.24 MB
  42. z.9781836201854_Code/TF2_Classification_Packt.ipynb 31 KB
  43. Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).en.srt 24 KB
  44. Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).en.srt 22 KB
  45. Chapter 3 Spam Detection/006. Spam Detection in Python.en.srt 21 KB
  46. Chapter 5 Text Summarization/008. TextRank in Python (Advanced).en.srt 18 KB
  47. Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).en.srt 18 KB
  48. Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.en.srt 17 KB
  49. Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.en.srt 16 KB
  50. Chapter 5 Text Summarization/004. Text Summarization in Python.en.srt 16 KB

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