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

1. 01 - Introduction/001 Introduction and Outline.mp472.97MB
2. 01 - Introduction/002 Where to get the Code.mp462.9MB
3. 01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!.mp426.66MB
4. 02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro.mp417.52MB
5. 02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP.mp428.36MB
6. 02 - Vector Models and Text Preprocessing/003 What is a Vector.mp448.93MB
7. 02 - Vector Models and Text Preprocessing/004 Bag of Words.mp413.85MB
8. 02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory).mp457.43MB
9. 02 - Vector Models and Text Preprocessing/006 Tokenization.mp473.51MB
10. 02 - Vector Models and Text Preprocessing/007 Stopwords.mp413.1MB
11. 02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp457.92MB
12. 02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp474.84MB
13. 02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4101.98MB
14. 02 - Vector Models and Text Preprocessing/011 Vector Similarity.mp445.11MB
15. 02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp458.57MB
16. 02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt.mp413.38MB
17. 02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4124.92MB
18. 02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping.mp447.58MB
19. 02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp479.79MB
20. 02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings.mp445.54MB
21. 02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp466.84MB
22. 02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary.mp420.85MB
23. 03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction).mp426.91MB
24. 04 - Markov Models (Intermediate)/001 Markov Models Section Introduction.mp413.09MB
25. 04 - Markov Models (Intermediate)/002 The Markov Property.mp432.25MB
26. 04 - Markov Models (Intermediate)/003 The Markov Model.mp445.32MB
27. 04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities.mp432.87MB
28. 04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory).mp428.92MB
29. 04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt).mp416.11MB
30. 04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp457.68MB
31. 04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp472.22MB
32. 04 - Markov Models (Intermediate)/009 Language Model (Theory).mp444.96MB
33. 04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt).mp428.8MB
34. 04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp462.83MB
35. 04 - Markov Models (Intermediate)/012 Language Model (Code pt 2).mp452.43MB
36. 04 - Markov Models (Intermediate)/013 Markov Models Section Summary.mp415.56MB
37. 05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description.mp441.92MB
38. 05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach.mp415.92MB
39. 05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt.mp424.62MB
40. 05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp495.89MB
41. 05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp475.37MB
42. 05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong.mp428.23MB
43. 06 - Cipher Decryption (Advanced)/001 Section Introduction.mp426.32MB
44. 06 - Cipher Decryption (Advanced)/002 Ciphers.mp417.21MB
45. 06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp465.53MB
46. 06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4105.16MB
47. 06 - Cipher Decryption (Advanced)/005 Code Preparation.mp420.63MB
48. 06 - Cipher Decryption (Advanced)/006 Code pt 1.mp415.98MB
49. 06 - Cipher Decryption (Advanced)/007 Code pt 2.mp439.13MB
50. 06 - Cipher Decryption (Advanced)/008 Code pt 3.mp429.54MB
51. 06 - Cipher Decryption (Advanced)/009 Code pt 4.mp425.62MB
52. 06 - Cipher Decryption (Advanced)/010 Code pt 5.mp440.96MB
53. 06 - Cipher Decryption (Advanced)/011 Code pt 6.mp413.31MB
54. 06 - Cipher Decryption (Advanced)/012 Section Conclusion.mp424.24MB
55. 07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction).mp423.36MB
56. 08 - Spam Detection/001 Spam Detection - Problem Description.mp431.33MB
57. 08 - Spam Detection/002 Naive Bayes Intuition.mp451.33MB
58. 08 - Spam Detection/003 Spam Detection - Exercise Prompt.mp48.73MB
59. 08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp460.21MB
60. 08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp427.32MB
61. 08 - Spam Detection/006 Spam Detection in Python.mp4107.6MB
62. 09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description.mp442.7MB
63. 09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp463.57MB
64. 09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2).mp423.61MB
65. 09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3).mp439.63MB
66. 09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt.mp416.55MB
67. 09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1).mp424.83MB
68. 09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2).mp451.96MB