Natural Language Processing - Probability Models in Python - TorrentBank

File Name:Natural Language Processing - Probability Models in Python

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Create Time:2024-07-23 13:19:50

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File Count:90

File Hash:1ac0f301befa66d3b27e110ee7fef1e3b6cf97f7

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Chapter 3 Spam Detection/006. Spam Detection in Python.mp4 53.56 MB
Chapter 1 Welcome/001. Introduction and Outline.mp4 18.98 MB
Chapter 1 Welcome/002. Special Offer.en.srt 1.67 KB
Chapter 1 Welcome/002. Special Offer.mp4 3.16 MB
Chapter 2 Getting Set Up/001. Where To Get the Code.en.srt 4.01 KB
Chapter 2 Getting Set Up/001. Where To Get the Code.mp4 7.02 MB
Chapter 2 Getting Set Up/002. How To Succeed in This Course.en.srt 4.64 KB
Chapter 2 Getting Set Up/002. How To Succeed in This Course.mp4 6.33 MB
Chapter 3 Spam Detection/001. Spam Detection - Problem Description.en.srt 9.31 KB
Chapter 3 Spam Detection/001. Spam Detection - Problem Description.mp4 15.10 MB
Chapter 3 Spam Detection/002. Naive Bayes Intuition.en.srt 16.06 KB
Chapter 3 Spam Detection/002. Naive Bayes Intuition.mp4 26.21 MB
Chapter 3 Spam Detection/003. Spam Detection - Exercise Prompt.en.srt 2.82 KB
Chapter 3 Spam Detection/003. Spam Detection - Exercise Prompt.mp4 4.29 MB
Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).en.srt 17.93 KB
Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 29.19 MB
Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).en.srt 14.95 KB
Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 26.68 MB
Chapter 3 Spam Detection/006. Spam Detection in Python.en.srt 20.54 KB
Chapter 1 Welcome/001. Introduction and Outline.en.srt 11.96 KB
Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.en.srt 10.41 KB
Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.mp4 19.86 MB
Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).en.srt 23.96 KB
Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).mp4 34.10 MB
Chapter 4 Sentiment Analysis/003. Multiclass Logistic Regression (pt 2).en.srt 8.93 KB
Chapter 4 Sentiment Analysis/003. Multiclass Logistic Regression (pt 2).mp4 12.84 MB
Chapter 4 Sentiment Analysis/004. Logistic Regression Training and Interpretation.en.srt 11.37 KB
Chapter 4 Sentiment Analysis/004. Logistic Regression Training and Interpretation.mp4 20.43 MB
Chapter 4 Sentiment Analysis/005. Sentiment Analysis - Exercise Prompt.en.srt 5.56 KB
Chapter 4 Sentiment Analysis/005. Sentiment Analysis - Exercise Prompt.mp4 8.46 MB
Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).en.srt 12.13 KB
Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).mp4 29.62 MB
Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).en.srt 9.80 KB
Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).mp4 23.73 MB
Chapter 5 Text Summarization/001. Text Summarization Section Introduction.en.srt 8.03 KB
Chapter 5 Text Summarization/001. Text Summarization Section Introduction.mp4 12.64 MB
Chapter 5 Text Summarization/002. Text Summarization Using Vectors.en.srt 7.54 KB
Chapter 5 Text Summarization/002. Text Summarization Using Vectors.mp4 12.77 MB
Chapter 5 Text Summarization/003. Text Summarization Exercise Prompt.en.srt 2.38 KB
Chapter 5 Text Summarization/003. Text Summarization Exercise Prompt.mp4 3.94 MB
Chapter 5 Text Summarization/004. Text Summarization in Python.en.srt 16.21 KB
Chapter 5 Text Summarization/004. Text Summarization in Python.mp4 37.25 MB
Chapter 5 Text Summarization/005. TextRank Intuition.en.srt 11.70 KB
Chapter 5 Text Summarization/005. TextRank Intuition.mp4 21.27 MB
Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).en.srt 14.35 KB
Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).mp4 24.68 MB
Chapter 5 Text Summarization/007. TextRank Exercise Prompt (Advanced).en.srt 1.76 KB
Chapter 5 Text Summarization/007. TextRank Exercise Prompt (Advanced).mp4 3.40 MB
Chapter 5 Text Summarization/008. TextRank in Python (Advanced).en.srt 18.44 KB
Chapter 5 Text Summarization/008. TextRank in Python (Advanced).mp4 39.01 MB
Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).en.srt 8.15 KB
Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).mp4 20.91 MB
Chapter 5 Text Summarization/010. Text Summarization Section Summary.en.srt 4.59 KB
Chapter 5 Text Summarization/010. Text Summarization Section Summary.mp4 9.10 MB
Chapter 6 Topic Modeling/001. Topic Modeling Section Introduction.en.srt 4.46 KB
Chapter 6 Topic Modeling/001. Topic Modeling Section Introduction.mp4 8.37 MB
Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.en.srt 16.25 KB
Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.mp4 26.74 MB
Chapter 6 Topic Modeling/003. LDA - Code Preparation.en.srt 5.17 KB
Chapter 6 Topic Modeling/003. LDA - Code Preparation.mp4 7.55 MB
Chapter 6 Topic Modeling/004. LDA - Maybe Useful Picture (Optional).en.srt 2.50 KB
Chapter 6 Topic Modeling/004. LDA - Maybe Useful Picture (Optional).mp4 4.10 MB
Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).en.srt 21.50 KB
Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 31.55 MB
Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.en.srt 13.68 KB
Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 34.88 MB
Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.en.srt 14.66 KB
Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.mp4 24.93 MB
Chapter 6 Topic Modeling/008. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.en.srt 5.09 KB
Chapter 6 Topic Modeling/008. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp4 16.60 MB
Chapter 6 Topic Modeling/009. Topic Modeling Section Summary.en.srt 2.10 KB
Chapter 6 Topic Modeling/009. Topic Modeling Section Summary.mp4 4.44 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/001. LSA LSI Section Introduction.en.srt 5.47 KB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/001. LSA LSI Section Introduction.mp4 9.78 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.en.srt 16.76 KB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.mp4 36.87 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/003. LSA LSI Applying SVD to NLP.en.srt 10.77 KB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/003. LSA LSI Applying SVD to NLP.mp4 17.48 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.en.srt 10.57 KB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 26.16 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/005. LSA LSI Exercises.en.srt 7.95 KB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/005. LSA LSI Exercises.mp4 14.34 MB
z.9781836201854_Code/CBOW_in_TF2_Packt.ipynb 4.67 KB
z.9781836201854_Code/CNN_Text_Classification_Packt.ipynb 3.55 KB
z.9781836201854_Code/Linear_Regression_Packt.ipynb 14.80 KB
z.9781836201854_Code/NER_TF2_Packt.ipynb 5.33 KB
z.9781836201854_Code/POS_Tagging_Packt.ipynb 7.93 KB
z.9781836201854_Code/RNN_Text_Classification_Packt.ipynb 4.23 KB
z.9781836201854_Code/TF2_ANN_with_TFIDF_Packt.ipynb 3.50 KB
z.9781836201854_Code/TF2_Classification_Packt.ipynb 31.05 KB
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