[UdemyCourseDownloader] Mining Data from Text
File List
- Exercise Files/mining-data-text.zip 112.4 MB
- 5.Implementing Topic Modeling/28.Visualizing Topics Using Manifold Learning to Reduce Dimensions .mp4 18.2 MB
- 5.Implementing Topic Modeling/27.Latent Dirichlet Allocation - Topic Modeling with the DBPedia Dataset.mp4 15.4 MB
- 6.Understanding and Implementing Keyword Extraction/37.Keyword Extraction Using RAKE.mp4 15.2 MB
- 3.Building Classification Models Using Text Data/16.Sentiment Analysis Using the Naive Bayes Classifier.mp4 14.1 MB
- 2.Modeling Text Using Natural Language Processing/11.Frequency Based Representation Using Bag of Words and Bag of N Grams Model.mp4 14.0 MB
- 5.Implementing Topic Modeling/32.Latent Semantic Indexing - Preprocessing Text.mp4 13.3 MB
- 2.Modeling Text Using Natural Language Processing/12.Representing Documents Using TFIDF Scores and Feature Hashes.mp4 12.6 MB
- 5.Implementing Topic Modeling/25.Latent Dirichlet Allocation - Topic Modeling with the Newspaper Headlines Dataset.mp4 12.5 MB
- 5.Implementing Topic Modeling/26.Visualizing Topic Assignments Using Manifold Learning to Reduce Dimensions.mp4 11.7 MB
- 5.Implementing Topic Modeling/33.Concept Modeling Using LSI.mp4 10.8 MB
- 3.Building Classification Models Using Text Data/17.scikit-learn Pipelines to Build Features .mp4 10.4 MB
- 4.Understanding Topic Modeling/21.Topic Modeling.mp4 10.3 MB
- 5.Implementing Topic Modeling/31.Interactive Topic Visualization Using Bokeh.mp4 10.3 MB
- 3.Building Classification Models Using Text Data/18.Multiclass Classification.mp4 9.9 MB
- 5.Implementing Topic Modeling/30.Non-negative Matrix Factorization - Topic Modeling with the DBPedia Dataset.mp4 9.8 MB
- 4.Understanding Topic Modeling/22.Topic Modeling Algorithms.mp4 9.4 MB
- 2.Modeling Text Using Natural Language Processing/05.Numeric Representations of Text - One Hot Encoding.mp4 7.2 MB
- 5.Implementing Topic Modeling/29.Interactive Topic Model Visualization Using PyLDAVis.mp4 7.0 MB
- 2.Modeling Text Using Natural Language Processing/06.Numeric Representations of Text - Frequency Based Encodings.mp4 7.0 MB
- 6.Understanding and Implementing Keyword Extraction/36.Understanding RAKE for Keyword Extraction.mp4 6.2 MB
- 3.Building Classification Models Using Text Data/15.Naive Bayes Classifier.mp4 5.9 MB
- 2.Modeling Text Using Natural Language Processing/08.Feature Hashing.mp4 5.0 MB
- 2.Modeling Text Using Natural Language Processing/10.Install and Setup.mp4 4.9 MB
- 2.Modeling Text Using Natural Language Processing/07.Numeric Representations of Text - Prediction Based Embeddings.mp4 4.8 MB
- 2.Modeling Text Using Natural Language Processing/09.Bag of Words - Bag of N Grams.mp4 3.5 MB
- 1.Course Overview/01.Course Overview.mp4 3.2 MB
- 2.Modeling Text Using Natural Language Processing/04.Mining Data from Text.mp4 2.7 MB
- 4.Understanding Topic Modeling/20.Module Overview.mp4 2.3 MB
- 2.Modeling Text Using Natural Language Processing/13.Module Summary.mp4 2.2 MB
- 6.Understanding and Implementing Keyword Extraction/38.Summary and Further Study.mp4 2.0 MB
- 4.Understanding Topic Modeling/23.Module Summary.mp4 1.9 MB
- 2.Modeling Text Using Natural Language Processing/02.Module Overview.mp4 1.9 MB
- 6.Understanding and Implementing Keyword Extraction/35.Module Overview.mp4 1.9 MB
- 5.Implementing Topic Modeling/24.Module Overview.mp4 1.9 MB
- 5.Implementing Topic Modeling/34.Module Summary.mp4 1.8 MB
- 3.Building Classification Models Using Text Data/14.Module Overview.mp4 1.8 MB
- 3.Building Classification Models Using Text Data/19.Module Summary.mp4 1.6 MB
- 2.Modeling Text Using Natural Language Processing/03.Prerequisites and Course Outline .mp4 1.5 MB
- 4.Understanding Topic Modeling/21.Topic Modeling.en.srt 11.9 KB
- 6.Understanding and Implementing Keyword Extraction/37.Keyword Extraction Using RAKE.en.srt 11.7 KB
- 5.Implementing Topic Modeling/28.Visualizing Topics Using Manifold Learning to Reduce Dimensions .en.srt 11.6 KB
- 2.Modeling Text Using Natural Language Processing/11.Frequency Based Representation Using Bag of Words and Bag of N Grams Model.en.srt 11.5 KB
- 3.Building Classification Models Using Text Data/16.Sentiment Analysis Using the Naive Bayes Classifier.en.srt 11.2 KB
- 5.Implementing Topic Modeling/27.Latent Dirichlet Allocation - Topic Modeling with the DBPedia Dataset.en.srt 11.1 KB
- 2.Modeling Text Using Natural Language Processing/12.Representing Documents Using TFIDF Scores and Feature Hashes.en.srt 9.9 KB
- 5.Implementing Topic Modeling/25.Latent Dirichlet Allocation - Topic Modeling with the Newspaper Headlines Dataset.en.srt 9.9 KB
- 5.Implementing Topic Modeling/32.Latent Semantic Indexing - Preprocessing Text.en.srt 9.2 KB
- 5.Implementing Topic Modeling/26.Visualizing Topic Assignments Using Manifold Learning to Reduce Dimensions.en.srt 9.1 KB
- 4.Understanding Topic Modeling/22.Topic Modeling Algorithms.en.srt 9.0 KB
- 2.Modeling Text Using Natural Language Processing/06.Numeric Representations of Text - Frequency Based Encodings.en.srt 8.2 KB
- 3.Building Classification Models Using Text Data/17.scikit-learn Pipelines to Build Features .en.srt 8.1 KB
- 3.Building Classification Models Using Text Data/18.Multiclass Classification.en.srt 7.6 KB
- 5.Implementing Topic Modeling/33.Concept Modeling Using LSI.en.srt 7.6 KB
- 2.Modeling Text Using Natural Language Processing/05.Numeric Representations of Text - One Hot Encoding.en.srt 7.5 KB
- 3.Building Classification Models Using Text Data/15.Naive Bayes Classifier.en.srt 7.3 KB
- 6.Understanding and Implementing Keyword Extraction/36.Understanding RAKE for Keyword Extraction.en.srt 7.1 KB
- 5.Implementing Topic Modeling/30.Non-negative Matrix Factorization - Topic Modeling with the DBPedia Dataset.en.srt 7.0 KB
- 5.Implementing Topic Modeling/31.Interactive Topic Visualization Using Bokeh.en.srt 6.1 KB
- 2.Modeling Text Using Natural Language Processing/08.Feature Hashing.en.srt 5.5 KB
- 2.Modeling Text Using Natural Language Processing/07.Numeric Representations of Text - Prediction Based Embeddings.en.srt 5.4 KB
- 5.Implementing Topic Modeling/29.Interactive Topic Model Visualization Using PyLDAVis.en.srt 4.5 KB
- 2.Modeling Text Using Natural Language Processing/10.Install and Setup.en.srt 4.4 KB
- 2.Modeling Text Using Natural Language Processing/09.Bag of Words - Bag of N Grams.en.srt 3.8 KB
- 2.Modeling Text Using Natural Language Processing/04.Mining Data from Text.en.srt 3.1 KB
- 4.Understanding Topic Modeling/20.Module Overview.en.srt 2.7 KB
- 1.Course Overview/01.Course Overview.en.srt 2.7 KB
- 6.Understanding and Implementing Keyword Extraction/38.Summary and Further Study.en.srt 2.6 KB
- 4.Understanding Topic Modeling/23.Module Summary.en.srt 2.6 KB
- 2.Modeling Text Using Natural Language Processing/13.Module Summary.en.srt 2.5 KB
- 2.Modeling Text Using Natural Language Processing/02.Module Overview.en.srt 2.1 KB
- 5.Implementing Topic Modeling/34.Module Summary.en.srt 2.1 KB
- 5.Implementing Topic Modeling/24.Module Overview.en.srt 2.1 KB
- 6.Understanding and Implementing Keyword Extraction/35.Module Overview.en.srt 2.1 KB
- 3.Building Classification Models Using Text Data/14.Module Overview.en.srt 2.0 KB
- 2.Modeling Text Using Natural Language Processing/03.Prerequisites and Course Outline .en.srt 1.9 KB
- 3.Building Classification Models Using Text Data/19.Module Summary.en.srt 1.9 KB
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- Udemy Course downloader.txt 94 bytes
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