Natural Language Processing - Embeddings and Text Preprocessing in Python

1. Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. Anaconda Environment Setup.mp4 68.03 MB
2. Chapter 3 Vector Models and Text Preprocessing/013. TF-IDF (Code).mp4 60.05 MB
3. Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 53.10 MB
4. Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 50.26 MB
5. Chapter 3 Vector Models and Text Preprocessing/009. Count Vectorizer (Code).mp4 47.72 MB
6. Chapter 3 Vector Models and Text Preprocessing/015. How to Build TF-IDF From Scratch.mp4 39.01 MB
7. Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 38.36 MB
8. Chapter 3 Vector Models and Text Preprocessing/005. Tokenization.mp4 35.91 MB
9. Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 35.31 MB
10. Chapter 3 Vector Models and Text Preprocessing/008. Stemming and Lemmatization Demo.mp4 34.81 MB
11. Chapter 3 Vector Models and Text Preprocessing/004. Count Vectorizer (Theory).mp4 31.36 MB
12. Chapter 4 Looking Ahead/002. Neural Word Embeddings Demo.mp4 30.98 MB
13. Chapter 3 Vector Models and Text Preprocessing/011. TF-IDF (Theory).mp4 30.93 MB
14. Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. How to Code Yourself (part 1).mp4 30.28 MB
15. Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. How to use Github & Extra Coding Tips (Optional).mp4 29.88 MB
16. Chapter 3 Vector Models and Text Preprocessing/007. Stemming and Lemmatization.mp4 29.84 MB
17. Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp4 28.82 MB
18. Chapter 4 Looking Ahead/003. How To Do NLP In Other Languages.mp4 28.07 MB
19. Chapter 3 Vector Models and Text Preprocessing/002. What is a Vector.mp4 25.42 MB
20. Chapter 3 Vector Models and Text Preprocessing/014. Word-to-Index Mapping.mp4 24.89 MB
21. Chapter 3 Vector Models and Text Preprocessing/010. Vector Similarity.mp4 24.28 MB
22. Chapter 4 Looking Ahead/001. Neural Word Embeddings.mp4 23.21 MB
23. Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (part 2).mp4 19.53 MB
24. Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/001. How to Succeed in this Course (Long Version).mp4 17.69 MB
25. Chapter 1 Welcome/001. Introduction and Outline.mp4 14.69 MB
26. Chapter 3 Vector Models and Text Preprocessing/001. Basic Definitions for NLP.mp4 12.74 MB
27. Chapter 3 Vector Models and Text Preprocessing/006. Stopwords.mp4 11.87 MB
28. Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Pre-Installation Check.mp4 11.30 MB
29. Chapter 4 Looking Ahead/004. Vector Models & Text Preprocessing Summary.mp4 10.18 MB
30. Chapter 2 Getting Set Up/001. Where To Get the Code.mp4 7.30 MB
31. Chapter 2 Getting Set Up/002. How To Succeed in This Course.mp4 6.48 MB
32. Chapter 3 Vector Models and Text Preprocessing/012. (Interactive) Recommender Exercise Prompt.mp4 6.39 MB
33. Chapter 3 Vector Models and Text Preprocessing/003. Bag of Words.mp4 6.23 MB
34. Chapter 1 Welcome/002. Special Offer.mp4 3.24 MB
35. Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en.srt 34 KB
36. Chapter 3 Vector Models and Text Preprocessing/013. TF-IDF (Code).en.srt 26 KB
37. Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).en.srt 25 KB
38. Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. How to Code Yourself (part 1).en.srt 23 KB
39. Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. Anaconda Environment Setup.en.srt 22 KB
40. Chapter 3 Vector Models and Text Preprocessing/005. Tokenization.en.srt 21 KB
41. Chapter 3 Vector Models and Text Preprocessing/004. Count Vectorizer (Theory).en.srt 20 KB
42. Chapter 3 Vector Models and Text Preprocessing/015. How to Build TF-IDF From Scratch.en.srt 20 KB
43. Chapter 3 Vector Models and Text Preprocessing/009. Count Vectorizer (Code).en.srt 20 KB
44. Chapter 3 Vector Models and Text Preprocessing/011. TF-IDF (Theory).en.srt 19 KB
45. Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).en.srt 18 KB
46. Chapter 3 Vector Models and Text Preprocessing/007. Stemming and Lemmatization.en.srt 17 KB
47. Chapter 3 Vector Models and Text Preprocessing/010. Vector Similarity.en.srt 17 KB
48. Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. How to use Github & Extra Coding Tips (Optional).en.srt 17 KB
49. Chapter 3 Vector Models and Text Preprocessing/002. What is a Vector.en.srt 16 KB
50. Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/001. How to Succeed in this Course (Long Version).en.srt 16 KB