Natural Language Processing - Embeddings and Text Preprocessing in Python

磁力链接/BT种子名称

Natural Language Processing - Embeddings and Text Preprocessing in Python

磁力链接/BT种子简介

种子哈希：5c59f53a919a292c810c5d676f232135afdcd3ab
文件大小：906.88M
已经下载：2650次
下载速度：极快
收录时间：2024-07-23
最近下载：2025-10-13

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文件列表

  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. Anaconda Environment Setup.mp4 69.7 MB
  • Chapter 3 Vector Models and Text Preprocessing/013. TF-IDF (Code).mp4 61.5 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 54.4 MB
  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
  • Chapter 3 Vector Models and Text Preprocessing/009. Count Vectorizer (Code).mp4 48.9 MB
  • Chapter 3 Vector Models and Text Preprocessing/015. How to Build TF-IDF From Scratch.mp4 39.9 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 39.3 MB
  • Chapter 3 Vector Models and Text Preprocessing/005. Tokenization.mp4 36.8 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 36.2 MB
  • Chapter 3 Vector Models and Text Preprocessing/008. Stemming and Lemmatization Demo.mp4 35.6 MB
  • Chapter 3 Vector Models and Text Preprocessing/004. Count Vectorizer (Theory).mp4 32.1 MB
  • Chapter 4 Looking Ahead/002. Neural Word Embeddings Demo.mp4 31.7 MB
  • Chapter 3 Vector Models and Text Preprocessing/011. TF-IDF (Theory).mp4 31.7 MB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. How to Code Yourself (part 1).mp4 31.0 MB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
  • Chapter 3 Vector Models and Text Preprocessing/007. Stemming and Lemmatization.mp4 30.6 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 29.5 MB
  • Chapter 4 Looking Ahead/003. How To Do NLP In Other Languages.mp4 28.7 MB
  • Chapter 3 Vector Models and Text Preprocessing/002. What is a Vector.mp4 26.0 MB
  • Chapter 3 Vector Models and Text Preprocessing/014. Word-to-Index Mapping.mp4 25.5 MB
  • Chapter 3 Vector Models and Text Preprocessing/010. Vector Similarity.mp4 24.9 MB
  • Chapter 4 Looking Ahead/001. Neural Word Embeddings.mp4 23.8 MB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (part 2).mp4 20.0 MB
  • Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/001. How to Succeed in this Course (Long Version).mp4 18.1 MB
  • Chapter 1 Welcome/001. Introduction and Outline.mp4 15.0 MB
  • Chapter 3 Vector Models and Text Preprocessing/001. Basic Definitions for NLP.mp4 13.1 MB
  • Chapter 3 Vector Models and Text Preprocessing/006. Stopwords.mp4 12.2 MB
  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Pre-Installation Check.mp4 11.6 MB
  • Chapter 4 Looking Ahead/004. Vector Models & Text Preprocessing Summary.mp4 10.4 MB
  • Chapter 2 Getting Set Up/001. Where To Get the Code.mp4 7.5 MB
  • Chapter 2 Getting Set Up/002. How To Succeed in This Course.mp4 6.6 MB
  • Chapter 3 Vector Models and Text Preprocessing/012. (Interactive) Recommender Exercise Prompt.mp4 6.5 MB
  • Chapter 3 Vector Models and Text Preprocessing/003. Bag of Words.mp4 6.4 MB
  • Chapter 1 Welcome/002. Special Offer.mp4 3.3 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 34.6 kB
  • Chapter 3 Vector Models and Text Preprocessing/013. TF-IDF (Code).en.srt 26.7 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 26.0 kB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. How to Code Yourself (part 1).en.srt 23.5 kB
  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. Anaconda Environment Setup.en.srt 22.3 kB
  • Chapter 3 Vector Models and Text Preprocessing/005. Tokenization.en.srt 21.2 kB
  • Chapter 3 Vector Models and Text Preprocessing/004. Count Vectorizer (Theory).en.srt 20.6 kB
  • Chapter 3 Vector Models and Text Preprocessing/015. How to Build TF-IDF From Scratch.en.srt 20.2 kB
  • Chapter 3 Vector Models and Text Preprocessing/009. Count Vectorizer (Code).en.srt 20.2 kB
  • Chapter 3 Vector Models and Text Preprocessing/011. TF-IDF (Theory).en.srt 19.7 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 18.4 kB
  • Chapter 3 Vector Models and Text Preprocessing/007. Stemming and Lemmatization.en.srt 17.4 kB
  • Chapter 3 Vector Models and Text Preprocessing/010. Vector Similarity.en.srt 17.2 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 17.0 kB
  • Chapter 3 Vector Models and Text Preprocessing/002. What is a Vector.en.srt 16.4 kB
  • Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/001. How to Succeed in this Course (Long Version).en.srt 16.4 kB
  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.en.srt 15.7 kB
  • Chapter 4 Looking Ahead/003. How To Do NLP In Other Languages.en.srt 15.6 kB
  • Chapter 3 Vector Models and Text Preprocessing/008. Stemming and Lemmatization Demo.en.srt 15.0 kB
  • Chapter 3 Vector Models and Text Preprocessing/014. Word-to-Index Mapping.en.srt 14.8 kB
  • Chapter 4 Looking Ahead/001. Neural Word Embeddings.en.srt 14.6 kB
  • Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/002. How to Code Yourself (part 2).en.srt 14.2 kB
  • Chapter 4 Looking Ahead/002. Neural Word Embeddings Demo.en.srt 13.4 kB
  • Chapter 1 Welcome/001. Introduction and Outline.en.srt 9.1 kB
  • Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Pre-Installation Check.en.srt 7.1 kB
  • Chapter 3 Vector Models and Text Preprocessing/001. Basic Definitions for NLP.en.srt 6.8 kB
  • Chapter 3 Vector Models and Text Preprocessing/006. Stopwords.en.srt 6.8 kB
  • Chapter 4 Looking Ahead/004. Vector Models & Text Preprocessing Summary.en.srt 5.3 kB
  • Chapter 2 Getting Set Up/002. How To Succeed in This Course.en.srt 4.8 kB
  • Chapter 2 Getting Set Up/001. Where To Get the Code.en.srt 4.1 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 3.4 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

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