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Natural Language Processing - Probability Models in Python

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大小
788.8 MB
文件数
90
分类
视频
热度
52
最近活跃
3 天前

文件列表

  • Chapter 3 Spam Detection/006. Spam Detection in Python.mp453.6 MB
  • Chapter 1 Welcome/001. Introduction and Outline.mp419.0 MB
  • Chapter 1 Welcome/002. Special Offer.en.srt1.7 KB
  • Chapter 1 Welcome/002. Special Offer.mp43.2 MB
  • Chapter 2 Getting Set Up/001. Where To Get the Code.en.srt4.0 KB
  • Chapter 2 Getting Set Up/001. Where To Get the Code.mp47.0 MB
  • Chapter 2 Getting Set Up/002. How To Succeed in This Course.en.srt4.6 KB
  • Chapter 2 Getting Set Up/002. How To Succeed in This Course.mp46.3 MB
  • Chapter 3 Spam Detection/001. Spam Detection - Problem Description.en.srt9.3 KB
  • Chapter 3 Spam Detection/001. Spam Detection - Problem Description.mp415.1 MB
  • Chapter 3 Spam Detection/002. Naive Bayes Intuition.en.srt16.1 KB
  • Chapter 3 Spam Detection/002. Naive Bayes Intuition.mp426.2 MB
  • Chapter 3 Spam Detection/003. Spam Detection - Exercise Prompt.en.srt2.8 KB
  • Chapter 3 Spam Detection/003. Spam Detection - Exercise Prompt.mp44.3 MB
  • Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).en.srt17.9 KB
  • Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp429.2 MB
  • Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).en.srt14.9 KB
  • Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp426.7 MB
  • Chapter 3 Spam Detection/006. Spam Detection in Python.en.srt20.5 KB
  • Chapter 1 Welcome/001. Introduction and Outline.en.srt12.0 KB
  • Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.en.srt10.4 KB
  • Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.mp419.9 MB
  • Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).en.srt24.0 KB
  • Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).mp434.1 MB
  • Chapter 4 Sentiment Analysis/003. Multiclass Logistic Regression (pt 2).en.srt8.9 KB
  • Chapter 4 Sentiment Analysis/003. Multiclass Logistic Regression (pt 2).mp412.8 MB
  • Chapter 4 Sentiment Analysis/004. Logistic Regression Training and Interpretation.en.srt11.4 KB
  • Chapter 4 Sentiment Analysis/004. Logistic Regression Training and Interpretation.mp420.4 MB
  • Chapter 4 Sentiment Analysis/005. Sentiment Analysis - Exercise Prompt.en.srt5.6 KB
  • Chapter 4 Sentiment Analysis/005. Sentiment Analysis - Exercise Prompt.mp48.5 MB
  • Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).en.srt12.1 KB
  • Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).mp429.6 MB
  • Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).en.srt9.8 KB
  • Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).mp423.7 MB
  • Chapter 5 Text Summarization/001. Text Summarization Section Introduction.en.srt8.0 KB
  • Chapter 5 Text Summarization/001. Text Summarization Section Introduction.mp412.6 MB
  • Chapter 5 Text Summarization/002. Text Summarization Using Vectors.en.srt7.5 KB
  • Chapter 5 Text Summarization/002. Text Summarization Using Vectors.mp412.8 MB
  • Chapter 5 Text Summarization/003. Text Summarization Exercise Prompt.en.srt2.4 KB
  • Chapter 5 Text Summarization/003. Text Summarization Exercise Prompt.mp43.9 MB
  • Chapter 5 Text Summarization/004. Text Summarization in Python.en.srt16.2 KB
  • Chapter 5 Text Summarization/004. Text Summarization in Python.mp437.3 MB
  • Chapter 5 Text Summarization/005. TextRank Intuition.en.srt11.7 KB
  • Chapter 5 Text Summarization/005. TextRank Intuition.mp421.3 MB
  • Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).en.srt14.4 KB
  • Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).mp424.7 MB
  • Chapter 5 Text Summarization/007. TextRank Exercise Prompt (Advanced).en.srt1.8 KB
  • Chapter 5 Text Summarization/007. TextRank Exercise Prompt (Advanced).mp43.4 MB
  • Chapter 5 Text Summarization/008. TextRank in Python (Advanced).en.srt18.4 KB
  • Chapter 5 Text Summarization/008. TextRank in Python (Advanced).mp439.0 MB
  • Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).en.srt8.2 KB
  • Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).mp420.9 MB
  • Chapter 5 Text Summarization/010. Text Summarization Section Summary.en.srt4.6 KB
  • Chapter 5 Text Summarization/010. Text Summarization Section Summary.mp49.1 MB
  • Chapter 6 Topic Modeling/001. Topic Modeling Section Introduction.en.srt4.5 KB
  • Chapter 6 Topic Modeling/001. Topic Modeling Section Introduction.mp48.4 MB
  • Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.en.srt16.2 KB
  • Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.mp426.7 MB
  • Chapter 6 Topic Modeling/003. LDA - Code Preparation.en.srt5.2 KB
  • Chapter 6 Topic Modeling/003. LDA - Code Preparation.mp47.6 MB
  • Chapter 6 Topic Modeling/004. LDA - Maybe Useful Picture (Optional).en.srt2.5 KB
  • Chapter 6 Topic Modeling/004. LDA - Maybe Useful Picture (Optional).mp44.1 MB
  • Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).en.srt21.5 KB
  • Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp431.6 MB
  • Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.en.srt13.7 KB
  • Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp434.9 MB
  • Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.en.srt14.7 KB
  • Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.mp424.9 MB
  • Chapter 6 Topic Modeling/008. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.en.srt5.1 KB
  • Chapter 6 Topic Modeling/008. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp416.6 MB
  • Chapter 6 Topic Modeling/009. Topic Modeling Section Summary.en.srt2.1 KB
  • Chapter 6 Topic Modeling/009. Topic Modeling Section Summary.mp44.4 MB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/001. LSA LSI Section Introduction.en.srt5.5 KB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/001. LSA LSI Section Introduction.mp49.8 MB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.en.srt16.8 KB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.mp436.9 MB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/003. LSA LSI Applying SVD to NLP.en.srt10.8 KB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/003. LSA LSI Applying SVD to NLP.mp417.5 MB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.en.srt10.6 KB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp426.2 MB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/005. LSA LSI Exercises.en.srt7.9 KB
  • Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/005. LSA LSI Exercises.mp414.3 MB
  • z.9781836201854_Code/CBOW_in_TF2_Packt.ipynb4.7 KB
  • z.9781836201854_Code/CNN_Text_Classification_Packt.ipynb3.5 KB
  • z.9781836201854_Code/Linear_Regression_Packt.ipynb14.8 KB
  • z.9781836201854_Code/NER_TF2_Packt.ipynb5.3 KB
  • z.9781836201854_Code/POS_Tagging_Packt.ipynb7.9 KB
  • z.9781836201854_Code/RNN_Text_Classification_Packt.ipynb4.2 KB
  • z.9781836201854_Code/TF2_ANN_with_TFIDF_Packt.ipynb3.5 KB
  • z.9781836201854_Code/TF2_Classification_Packt.ipynb31.1 KB

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