Natural Language Processing Probability Models in Python | 1AC0F301BEFA66D3B27E110EE7FEF1E3B6CF97F7

Natural Language Processing Probability Models in Python

Name	Natural Language Processing - Probability Models in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	827.1 MB
Total Files	90
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Hash	1AC0F301BEFA66D3B27E110EE7FEF1E3B6CF97F7

/Chapter 3 Spam Detection/
006. Spam Detection in Python.mp4	56.2 MB
001. Spam Detection - Problem Description.en.srt	9.5 KB
001. Spam Detection - Problem Description.mp4	15.8 MB
002. Naive Bayes Intuition.en.srt	16.4 KB
002. Naive Bayes Intuition.mp4	27.5 MB
003. Spam Detection - Exercise Prompt.en.srt	2.9 KB
003. Spam Detection - Exercise Prompt.mp4	4.5 MB
004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).en.srt	18.4 KB
004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4	30.6 MB
005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).en.srt	15.3 KB
005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4	28.0 MB
006. Spam Detection in Python.en.srt	21.0 KB
/Chapter 1 Welcome/
001. Introduction and Outline.mp4	19.9 MB
002. Special Offer.en.srt	1.7 KB
002. Special Offer.mp4	3.3 MB
001. Introduction and Outline.en.srt	12.3 KB
/Chapter 2 Getting Set Up/
001. Where To Get the Code.en.srt	4.1 KB
001. Where To Get the Code.mp4	7.4 MB
002. How To Succeed in This Course.en.srt	4.8 KB
002. How To Succeed in This Course.mp4	6.6 MB
/Chapter 4 Sentiment Analysis/
001. Sentiment Analysis - Problem Description.en.srt	10.7 KB
001. Sentiment Analysis - Problem Description.mp4	20.8 MB
002. Logistic Regression Intuition (pt 1).en.srt	24.5 KB
002. Logistic Regression Intuition (pt 1).mp4	35.8 MB
003. Multiclass Logistic Regression (pt 2).en.srt	9.1 KB
003. Multiclass Logistic Regression (pt 2).mp4	13.5 MB
004. Logistic Regression Training and Interpretation.en.srt	11.6 KB
004. Logistic Regression Training and Interpretation.mp4	21.4 MB
005. Sentiment Analysis - Exercise Prompt.en.srt	5.7 KB
005. Sentiment Analysis - Exercise Prompt.mp4	8.9 MB
006. Sentiment Analysis in Python (pt 1).en.srt	12.4 KB
006. Sentiment Analysis in Python (pt 1).mp4	31.1 MB
007. Sentiment Analysis in Python (pt 2).en.srt	10.0 KB
007. Sentiment Analysis in Python (pt 2).mp4	24.9 MB
/Chapter 5 Text Summarization/
001. Text Summarization Section Introduction.en.srt	8.2 KB
001. Text Summarization Section Introduction.mp4	13.3 MB
002. Text Summarization Using Vectors.en.srt	7.7 KB
002. Text Summarization Using Vectors.mp4	13.4 MB
003. Text Summarization Exercise Prompt.en.srt	2.4 KB
003. Text Summarization Exercise Prompt.mp4	4.1 MB
004. Text Summarization in Python.en.srt	16.6 KB
004. Text Summarization in Python.mp4	39.1 MB
005. TextRank Intuition.en.srt	12.0 KB
005. TextRank Intuition.mp4	22.3 MB
006. TextRank - How It Really Works (Advanced).en.srt	14.7 KB
006. TextRank - How It Really Works (Advanced).mp4	25.9 MB
007. TextRank Exercise Prompt (Advanced).en.srt	1.8 KB
007. TextRank Exercise Prompt (Advanced).mp4	3.6 MB
008. TextRank in Python (Advanced).en.srt	18.9 KB
008. TextRank in Python (Advanced).mp4	40.9 MB
009. Text Summarization in Python - The Easy Way (Beginner).en.srt	8.3 KB
009. Text Summarization in Python - The Easy Way (Beginner).mp4	21.9 MB
010. Text Summarization Section Summary.en.srt	4.7 KB
010. Text Summarization Section Summary.mp4	9.5 MB
/Chapter 6 Topic Modeling/
001. Topic Modeling Section Introduction.en.srt	4.6 KB
001. Topic Modeling Section Introduction.mp4	8.8 MB
002. Latent Dirichlet Allocation (LDA) - Essentials.en.srt	16.6 KB
002. Latent Dirichlet Allocation (LDA) - Essentials.mp4	28.0 MB
003. LDA - Code Preparation.en.srt	5.3 KB
003. LDA - Code Preparation.mp4	7.9 MB
004. LDA - Maybe Useful Picture (Optional).en.srt	2.6 KB
004. LDA - Maybe Useful Picture (Optional).mp4	4.3 MB
005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).en.srt	22.0 KB
005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4	33.1 MB
006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.en.srt	14.0 KB
006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4	36.6 MB
007. Non-Negative Matrix Factorization (NMF) Intuition.en.srt	15.0 KB
007. Non-Negative Matrix Factorization (NMF) Intuition.mp4	26.1 MB
008. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.en.srt	5.2 KB
008. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp4	17.4 MB
009. Topic Modeling Section Summary.en.srt	2.1 KB
009. Topic Modeling Section Summary.mp4	4.7 MB
/Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/
001. LSA LSI Section Introduction.en.srt	5.6 KB
001. LSA LSI Section Introduction.mp4	10.3 MB
002. SVD (Singular Value Decomposition) Intuition.en.srt	17.2 KB
002. SVD (Singular Value Decomposition) Intuition.mp4	38.7 MB
003. LSA LSI Applying SVD to NLP.en.srt	11.0 KB
003. LSA LSI Applying SVD to NLP.mp4	18.3 MB
004. Latent Semantic Analysis Latent Semantic Indexing in Python.en.srt	10.8 KB
004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4	27.4 MB
005. LSA LSI Exercises.en.srt	8.1 KB
005. LSA LSI Exercises.mp4	15.0 MB
/z.9781836201854_Code/
CBOW_in_TF2_Packt.ipynb	4.8 KB
CNN_Text_Classification_Packt.ipynb	3.6 KB
Linear_Regression_Packt.ipynb	15.2 KB
NER_TF2_Packt.ipynb	5.5 KB
POS_Tagging_Packt.ipynb	8.1 KB
RNN_Text_Classification_Packt.ipynb	4.3 KB
TF2_ANN_with_TFIDF_Packt.ipynb	3.6 KB
TF2_Classification_Packt.ipynb	31.8 KB
Total files 90