Natural Language Processing - Embeddings and Text Preprocessing in Python

Creation Time	Aug. 16, 2024, 1:36 p.m.
Last Access Time	Nov. 22, 2024, 11:20 a.m.
File Size	906.9 MB
Keywords	and Natural Language Python Text Processing - Preprocessing in Embeddings
Total Requests	23
Total Files	68
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Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. Anaconda Environment Setup.mp4 66.4 MB
Chapter 3 Vector Models and Text Preprocessing/013. TF-IDF (Code).mp4 58.6 MB
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 51.9 MB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 49.1 MB
Chapter 3 Vector Models and Text Preprocessing/009. Count Vectorizer (Code).mp4 46.6 MB
Chapter 3 Vector Models and Text Preprocessing/015. How to Build TF-IDF From Scratch.mp4 38.1 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 37.5 MB
Chapter 3 Vector Models and Text Preprocessing/005. Tokenization.mp4 35.1 MB
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 34.5 MB
Chapter 3 Vector Models and Text Preprocessing/008. Stemming and Lemmatization Demo.mp4 34.0 MB
Chapter 3 Vector Models and Text Preprocessing/004. Count Vectorizer (Theory).mp4 30.6 MB
Chapter 4 Looking Ahead/002. Neural Word Embeddings Demo.mp4 30.3 MB
Chapter 3 Vector Models and Text Preprocessing/011. TF-IDF (Theory).mp4 30.2 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. How to Code Yourself (part 1).mp4 29.6 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. How to use Github & Extra Coding Tips (Optional).mp4 29.2 MB
Chapter 3 Vector Models and Text Preprocessing/007. Stemming and Lemmatization.mp4 29.1 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp4 28.1 MB
Chapter 4 Looking Ahead/003. How To Do NLP In Other Languages.mp4 27.4 MB
Chapter 3 Vector Models and Text Preprocessing/002. What is a Vector.mp4 24.8 MB
Chapter 3 Vector Models and Text Preprocessing/014. Word-to-Index Mapping.mp4 24.3 MB
Chapter 3 Vector Models and Text Preprocessing/010. Vector Similarity.mp4 23.7 MB
Chapter 4 Looking Ahead/001. Neural Word Embeddings.mp4 22.7 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (part 2).mp4 19.1 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/001. How to Succeed in this Course (Long Version).mp4 17.3 MB
Chapter 1 Welcome/001. Introduction and Outline.mp4 14.3 MB
Chapter 3 Vector Models and Text Preprocessing/001. Basic Definitions for NLP.mp4 12.4 MB
Chapter 3 Vector Models and Text Preprocessing/006. Stopwords.mp4 11.6 MB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Pre-Installation Check.mp4 11.0 MB
Chapter 4 Looking Ahead/004. Vector Models & Text Preprocessing Summary.mp4 9.9 MB
Chapter 2 Getting Set Up/001. Where To Get the Code.mp4 7.1 MB
Chapter 2 Getting Set Up/002. How To Succeed in This Course.mp4 6.3 MB
Chapter 3 Vector Models and Text Preprocessing/012. (Interactive) Recommender Exercise Prompt.mp4 6.2 MB
Chapter 3 Vector Models and Text Preprocessing/003. Bag of Words.mp4 6.1 MB
Chapter 1 Welcome/002. Special Offer.mp4 3.2 MB
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 33.8 KB
Chapter 3 Vector Models and Text Preprocessing/013. TF-IDF (Code).en.srt 26.1 KB
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 25.4 KB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. How to Code Yourself (part 1).en.srt 22.9 KB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. Anaconda Environment Setup.en.srt 21.7 KB
Chapter 3 Vector Models and Text Preprocessing/005. Tokenization.en.srt 20.7 KB
Chapter 3 Vector Models and Text Preprocessing/004. Count Vectorizer (Theory).en.srt 20.2 KB
Chapter 3 Vector Models and Text Preprocessing/015. How to Build TF-IDF From Scratch.en.srt 19.7 KB
Chapter 3 Vector Models and Text Preprocessing/009. Count Vectorizer (Code).en.srt 19.7 KB
Chapter 3 Vector Models and Text Preprocessing/011. TF-IDF (Theory).en.srt 19.3 KB
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 18.0 KB
Chapter 3 Vector Models and Text Preprocessing/007. Stemming and Lemmatization.en.srt 17.0 KB
Chapter 3 Vector Models and Text Preprocessing/010. Vector Similarity.en.srt 16.8 KB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. How to use Github & Extra Coding Tips (Optional).en.srt 16.6 KB
Chapter 3 Vector Models and Text Preprocessing/002. What is a Vector.en.srt 16.0 KB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/001. How to Succeed in this Course (Long Version).en.srt 16.0 KB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.en.srt 15.3 KB
Chapter 4 Looking Ahead/003. How To Do NLP In Other Languages.en.srt 15.2 KB
Chapter 3 Vector Models and Text Preprocessing/008. Stemming and Lemmatization Demo.en.srt 14.7 KB
Chapter 3 Vector Models and Text Preprocessing/014. Word-to-Index Mapping.en.srt 14.5 KB
Chapter 4 Looking Ahead/001. Neural Word Embeddings.en.srt 14.2 KB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (part 2).en.srt 13.9 KB
Chapter 4 Looking Ahead/002. Neural Word Embeddings Demo.en.srt 13.1 KB
Chapter 1 Welcome/001. Introduction and Outline.en.srt 8.9 KB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Pre-Installation Check.en.srt 6.9 KB
Chapter 3 Vector Models and Text Preprocessing/001. Basic Definitions for NLP.en.srt 6.6 KB
Chapter 3 Vector Models and Text Preprocessing/006. Stopwords.en.srt 6.6 KB
Chapter 4 Looking Ahead/004. Vector Models & Text Preprocessing Summary.en.srt 5.2 KB
Chapter 2 Getting Set Up/002. How To Succeed in This Course.en.srt 4.6 KB
Chapter 2 Getting Set Up/001. Where To Get the Code.en.srt 4.0 KB
Chapter 3 Vector Models and Text Preprocessing/003. Bag of Words.en.srt 3.5 KB
Chapter 3 Vector Models and Text Preprocessing/012. (Interactive) Recommender Exercise Prompt.en.srt 3.3 KB
Chapter 1 Welcome/002. Special Offer.en.srt 1.7 KB
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.en.srt 0 bytes

Natural Language Processing - Embeddings and Text Preprocessing in Python

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