[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

GigaCourse Com Udemy - Machine Learning Natural Language Processing in Python V2

File Size： 6.67 GB

Creat Time： 2025-02-06 16:37:18

Last Active： 2025-06-11 04:58:42

Active Degree： 2

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File List：

  1. 18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 145.11 MB
  2. 3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 124.92 MB
  3. 16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 117.56 MB
  4. 21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 108.15 MB
  5. 9. Spam Detection/6. Spam Detection in Python.mp4 107.61 MB
  6. 7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 105.16 MB
  7. 3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 101.99 MB
  8. 6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 95.90 MB
  9. 16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 89.31 MB
  10. 17. Convolutional Neural Networks/6. CNN Architecture.mp4 89.29 MB
  11. 11. Text Summarization/8. TextRank in Python (Advanced).mp4 82.31 MB
  12. 18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 82.26 MB
  13. 13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 81.84 MB
  14. 15. The Neuron/4. Text Classification in Tensorflow.mp4 81.67 MB
  15. 17. Convolutional Neural Networks/2. What is Convolution.mp4 79.86 MB
  16. 3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 79.80 MB
  17. 21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.67 MB
  18. 11. Text Summarization/4. Text Summarization in Python.mp4 78.15 MB
  19. 6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 75.38 MB
  20. 17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 75.20 MB
  21. 3. Vector Models and Text Preprocessing/9. Stemming and Lemmatization Demo.mp4 74.85 MB
  22. 3. Vector Models and Text Preprocessing/6. Tokenization.mp4 73.52 MB
  23. 1. Introduction/1. Introduction and Outline.mp4 72.98 MB
  24. 12. Topic Modeling/6. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 72.38 MB
  25. 5. Markov Models (Intermediate)/8. Building a Text Classifier (Code pt 2).mp4 72.23 MB
  26. 20. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4 71.85 MB
  27. 20. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4 69.43 MB
  28. 15. The Neuron/2. Fitting a Line.mp4 68.61 MB
  29. 3. Vector Models and Text Preprocessing/18. Neural Word Embeddings Demo.mp4 66.84 MB
  30. 7. Cipher Decryption (Advanced)/3. Language Models (Review).mp4 65.53 MB
  31. 2. Getting Set Up/2. How to use Github & Extra Coding Tips (Optional).mp4 63.88 MB
  32. 10. Sentiment Analysis/2. Logistic Regression Intuition (pt 1).mp4 63.57 MB
  33. 10. Sentiment Analysis/6. Sentiment Analysis in Python (pt 1).mp4 63.15 MB
  34. 5. Markov Models (Intermediate)/11. Language Model (Code pt 1).mp4 62.84 MB
  35. 9. Spam Detection/4. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 60.21 MB
  36. 12. Topic Modeling/5. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 60.18 MB
  37. 3. Vector Models and Text Preprocessing/12. TF-IDF (Theory).mp4 58.58 MB
  38. 3. Vector Models and Text Preprocessing/8. Stemming and Lemmatization.mp4 57.93 MB
  39. 5. Markov Models (Intermediate)/7. Building a Text Classifier (Code pt 1).mp4 57.69 MB
  40. 13. Latent Semantic Analysis (Latent Semantic Indexing)/4. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 57.56 MB
  41. 3. Vector Models and Text Preprocessing/5. Count Vectorizer (Theory).mp4 57.43 MB
  42. 18. Recurrent Neural Networks/5. RNNs Paying Attention to Shapes.mp4 57.17 MB
  43. 16. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4 56.54 MB
  44. 3. Vector Models and Text Preprocessing/21. How To Do NLP In Other Languages.mp4 55.97 MB
  45. 12. Topic Modeling/2. Latent Dirichlet Allocation (LDA) - Essentials.mp4 55.19 MB
  46. 9. Spam Detection/5. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 53.97 MB
  47. 19. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.mp4 52.64 MB
  48. 12. Topic Modeling/7. Non-Negative Matrix Factorization (NMF) Intuition.mp4 52.48 MB
  49. 5. Markov Models (Intermediate)/12. Language Model (Code pt 2).mp4 52.43 MB
  50. 10. Sentiment Analysis/7. Sentiment Analysis in Python (pt 2).mp4 51.97 MB
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