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

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

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种子哈希：5ae50a9452a7c3baecefb454ffda49f57ef79756
文件大小： 2.89G
已经下载：1837次
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收录时间：2022-01-11
最近下载：2024-12-09

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文件列表

  • 02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 131.0 MB
  • 08 - Spam Detection/006 Spam Detection in Python.mp4 112.8 MB
  • 06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 110.3 MB
  • 02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4 106.9 MB
  • 05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 100.6 MB
  • 02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4 79.0 MB
  • 02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp4 78.5 MB
  • 02 - Vector Models and Text Preprocessing/006 Tokenization.mp4 77.1 MB
  • 01 - Introduction/001 Introduction and Outline.mp4 76.5 MB
  • 04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp4 75.7 MB
  • 02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp4 70.1 MB
  • 06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp4 68.7 MB
  • 09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp4 66.7 MB
  • 01 - Introduction/002 Where to get the Code.mp4 66.0 MB
  • 04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp4 65.9 MB
  • 08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 63.1 MB
  • 02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp4 61.4 MB
  • 02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp4 60.7 MB
  • 04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp4 60.5 MB
  • 02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory).mp4 60.2 MB
  • 04 - Markov Models (Intermediate)/012 Language Model (Code pt 2).mp4 55.0 MB
  • 09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2).mp4 54.5 MB
  • 08 - Spam Detection/002 Naive Bayes Intuition.mp4 53.8 MB
  • 02 - Vector Models and Text Preprocessing/003 What is a Vector.mp4 51.3 MB
  • 02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping.mp4 49.9 MB
  • 02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings.mp4 47.8 MB
  • 04 - Markov Models (Intermediate)/003 The Markov Model.mp4 47.5 MB
  • 02 - Vector Models and Text Preprocessing/011 Vector Similarity.mp4 47.3 MB
  • 04 - Markov Models (Intermediate)/009 Language Model (Theory).mp4 47.1 MB
  • 09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description.mp4 44.8 MB
  • 05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description.mp4 44.0 MB
  • 06 - Cipher Decryption (Advanced)/010 Code pt 5.mp4 42.9 MB
  • 09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3).mp4 41.6 MB
  • 06 - Cipher Decryption (Advanced)/007 Code pt 2.mp4 41.0 MB
  • 04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities.mp4 34.5 MB
  • 04 - Markov Models (Intermediate)/002 The Markov Property.mp4 33.8 MB
  • 08 - Spam Detection/001 Spam Detection - Problem Description.mp4 32.9 MB
  • 06 - Cipher Decryption (Advanced)/008 Code pt 3.mp4 31.0 MB
  • 04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory).mp4 30.3 MB
  • 04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt).mp4 30.2 MB
  • 02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP.mp4 29.7 MB
  • 05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong.mp4 29.6 MB
  • 08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 28.7 MB
  • 03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction).mp4 28.2 MB
  • 01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4 28.0 MB
  • 06 - Cipher Decryption (Advanced)/001 Section Introduction.mp4 27.6 MB
  • 06 - Cipher Decryption (Advanced)/009 Code pt 4.mp4 26.9 MB
  • 09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1).mp4 26.0 MB
  • 05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt.mp4 25.8 MB
  • 06 - Cipher Decryption (Advanced)/012 Section Conclusion.mp4 25.4 MB
  • 09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2).mp4 24.8 MB
  • 07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction).mp4 24.5 MB
  • 02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary.mp4 21.9 MB
  • 06 - Cipher Decryption (Advanced)/005 Code Preparation.mp4 21.6 MB
  • 02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro.mp4 18.4 MB
  • 06 - Cipher Decryption (Advanced)/002 Ciphers.mp4 18.0 MB
  • 09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt.mp4 17.4 MB
  • 04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt).mp4 16.9 MB
  • 06 - Cipher Decryption (Advanced)/006 Code pt 1.mp4 16.8 MB
  • 05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach.mp4 16.7 MB
  • 04 - Markov Models (Intermediate)/013 Markov Models Section Summary.mp4 16.3 MB
  • 02 - Vector Models and Text Preprocessing/004 Bag of Words.mp4 14.5 MB
  • 02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt.mp4 14.0 MB
  • 06 - Cipher Decryption (Advanced)/011 Code pt 6.mp4 14.0 MB
  • 02 - Vector Models and Text Preprocessing/007 Stopwords.mp4 13.7 MB
  • 04 - Markov Models (Intermediate)/001 Markov Models Section Introduction.mp4 13.7 MB
  • 08 - Spam Detection/003 Spam Detection - Exercise Prompt.mp4 9.2 MB
  • 06 - Cipher Decryption (Advanced)/004 Genetic Algorithms_en.srt 29.9 kB
  • 02 - Vector Models and Text Preprocessing/014 TF-IDF (Code)_en.srt 25.4 kB
  • 09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1)_en.srt 23.1 kB
  • 05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1)_en.srt 21.2 kB
  • 06 - Cipher Decryption (Advanced)/003 Language Models (Review)_en.srt 21.0 kB
  • 02 - Vector Models and Text Preprocessing/006 Tokenization_en.srt 20.3 kB
  • 08 - Spam Detection/006 Spam Detection in Python_en.srt 19.7 kB
  • 02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory)_en.srt 19.6 kB
  • 02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code)_en.srt 19.6 kB
  • 02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch_en.srt 19.0 kB
  • 02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory)_en.srt 18.7 kB
  • 08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1)_en.srt 17.2 kB
  • 04 - Markov Models (Intermediate)/003 The Markov Model_en.srt 16.4 kB
  • 02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization_en.srt 16.2 kB
  • 01 - Introduction/002 Where to get the Code_en.srt 15.9 kB
  • 01 - Introduction/001 Introduction and Outline_en.srt 15.8 kB
  • 08 - Spam Detection/002 Naive Bayes Intuition_en.srt 15.6 kB
  • 02 - Vector Models and Text Preprocessing/011 Vector Similarity_en.srt 15.5 kB
  • 02 - Vector Models and Text Preprocessing/003 What is a Vector_en.srt 15.2 kB
  • 02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping_en.srt 15.2 kB
  • 08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2)_en.srt 14.8 kB
  • 02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo_en.srt 14.2 kB
  • 04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2)_en.srt 14.1 kB
  • 02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings_en.srt 13.8 kB
  • 04 - Markov Models (Intermediate)/009 Language Model (Theory)_en.srt 13.6 kB
  • 04 - Markov Models (Intermediate)/011 Language Model (Code pt 1)_en.srt 13.5 kB
  • 02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo_en.srt 13.0 kB
  • 05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2)_en.srt 12.7 kB
  • 04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1)_en.srt 12.1 kB
  • 09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1)_en.srt 11.9 kB
  • 04 - Markov Models (Intermediate)/012 Language Model (Code pt 2)_en.srt 11.6 kB
  • 09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3)_en.srt 11.1 kB
  • 05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description_en.srt 11.0 kB
  • 04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities_en.srt 10.5 kB
  • 09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description_en.srt 10.1 kB
  • 09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2)_en.srt 10.0 kB
  • 04 - Markov Models (Intermediate)/002 The Markov Property_en.srt 9.7 kB
  • 04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory)_en.srt 9.7 kB
  • 06 - Cipher Decryption (Advanced)/007 Code pt 2_en.srt 9.5 kB
  • 04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt)_en.srt 9.2 kB
  • 06 - Cipher Decryption (Advanced)/010 Code pt 5_en.srt 9.0 kB
  • 04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt)_en.srt 9.0 kB
  • 08 - Spam Detection/001 Spam Detection - Problem Description_en.srt 8.9 kB
  • 09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2)_en.srt 8.7 kB
  • 06 - Cipher Decryption (Advanced)/012 Section Conclusion_en.srt 8.5 kB
  • 05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt_en.srt 7.8 kB
  • 05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong_en.srt 7.7 kB
  • 06 - Cipher Decryption (Advanced)/011 Code pt 6_en.srt 7.4 kB
  • 01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt 7.4 kB
  • 06 - Cipher Decryption (Advanced)/005 Code Preparation_en.srt 6.9 kB
  • 06 - Cipher Decryption (Advanced)/001 Section Introduction_en.srt 6.8 kB
  • 02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP_en.srt 6.8 kB
  • 03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction)_en.srt 6.4 kB
  • 07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction)_en.srt 6.4 kB
  • 02 - Vector Models and Text Preprocessing/007 Stopwords_en.srt 6.4 kB
  • 06 - Cipher Decryption (Advanced)/008 Code pt 3_en.srt 6.3 kB
  • 05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach_en.srt 5.3 kB
  • 09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt_en.srt 5.2 kB
  • 02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro_en.srt 5.1 kB
  • 06 - Cipher Decryption (Advanced)/009 Code pt 4_en.srt 5.0 kB
  • 06 - Cipher Decryption (Advanced)/002 Ciphers_en.srt 4.9 kB
  • 02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary_en.srt 4.9 kB
  • 06 - Cipher Decryption (Advanced)/006 Code pt 1_en.srt 4.2 kB
  • 04 - Markov Models (Intermediate)/013 Markov Models Section Summary_en.srt 4.1 kB
  • 04 - Markov Models (Intermediate)/001 Markov Models Section Introduction_en.srt 3.5 kB
  • 02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt_en.srt 3.3 kB
  • 02 - Vector Models and Text Preprocessing/004 Bag of Words_en.srt 3.2 kB
  • 08 - Spam Detection/003 Spam Detection - Exercise Prompt_en.srt 2.7 kB
  • 10 - Extras/001 Colab Notebooks.html 572 Bytes
  • 01 - Introduction/external-assets-links.txt 223 Bytes
  • 0. Websites you may like/[CourseClub.ME].url 122 Bytes
  • 03 - Probabilistic Models (Introduction)/[CourseClub.Me].url 122 Bytes
  • 05 - Article Spinner (Intermediate)/[CourseClub.Me].url 122 Bytes
  • 08 - Spam Detection/[CourseClub.Me].url 122 Bytes
  • [CourseClub.Me].url 122 Bytes
  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 03 - Probabilistic Models (Introduction)/[GigaCourse.Com].url 49 Bytes
  • 05 - Article Spinner (Intermediate)/[GigaCourse.Com].url 49 Bytes
  • 08 - Spam Detection/[GigaCourse.Com].url 49 Bytes
  • [GigaCourse.Com].url 49 Bytes

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