[UdemyCourseDownloader] Mining Data from Text

磁力链接/BT种子名称

[UdemyCourseDownloader] Mining Data from Text

磁力链接/BT种子简介

种子哈希：d55ed727b512e6fdd2271008d8216557e759bd45
文件大小：388.61M
已经下载：22次
下载速度：极快
收录时间：2024-03-26
最近下载：2024-09-23

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文件列表

  • Exercise Files/mining-data-text.zip 117.8 MB
  • 5.Implementing Topic Modeling/28.Visualizing Topics Using Manifold Learning to Reduce Dimensions .mp4 19.1 MB
  • 5.Implementing Topic Modeling/27.Latent Dirichlet Allocation - Topic Modeling with the DBPedia Dataset.mp4 16.2 MB
  • 6.Understanding and Implementing Keyword Extraction/37.Keyword Extraction Using RAKE.mp4 16.0 MB
  • 3.Building Classification Models Using Text Data/16.Sentiment Analysis Using the Naive Bayes Classifier.mp4 14.8 MB
  • 2.Modeling Text Using Natural Language Processing/11.Frequency Based Representation Using Bag of Words and Bag of N Grams Model.mp4 14.6 MB
  • 5.Implementing Topic Modeling/32.Latent Semantic Indexing - Preprocessing Text.mp4 14.0 MB
  • 2.Modeling Text Using Natural Language Processing/12.Representing Documents Using TFIDF Scores and Feature Hashes.mp4 13.2 MB
  • 5.Implementing Topic Modeling/25.Latent Dirichlet Allocation - Topic Modeling with the Newspaper Headlines Dataset.mp4 13.1 MB
  • 5.Implementing Topic Modeling/26.Visualizing Topic Assignments Using Manifold Learning to Reduce Dimensions.mp4 12.2 MB
  • 5.Implementing Topic Modeling/33.Concept Modeling Using LSI.mp4 11.3 MB
  • 3.Building Classification Models Using Text Data/17.scikit-learn Pipelines to Build Features .mp4 10.9 MB
  • 4.Understanding Topic Modeling/21.Topic Modeling.mp4 10.8 MB
  • 5.Implementing Topic Modeling/31.Interactive Topic Visualization Using Bokeh.mp4 10.8 MB
  • 3.Building Classification Models Using Text Data/18.Multiclass Classification.mp4 10.4 MB
  • 5.Implementing Topic Modeling/30.Non-negative Matrix Factorization - Topic Modeling with the DBPedia Dataset.mp4 10.2 MB
  • 4.Understanding Topic Modeling/22.Topic Modeling Algorithms.mp4 9.8 MB
  • 2.Modeling Text Using Natural Language Processing/05.Numeric Representations of Text - One Hot Encoding.mp4 7.5 MB
  • 5.Implementing Topic Modeling/29.Interactive Topic Model Visualization Using PyLDAVis.mp4 7.3 MB
  • 2.Modeling Text Using Natural Language Processing/06.Numeric Representations of Text - Frequency Based Encodings.mp4 7.3 MB
  • 6.Understanding and Implementing Keyword Extraction/36.Understanding RAKE for Keyword Extraction.mp4 6.5 MB
  • 3.Building Classification Models Using Text Data/15.Naive Bayes Classifier.mp4 6.2 MB
  • 2.Modeling Text Using Natural Language Processing/08.Feature Hashing.mp4 5.3 MB
  • 2.Modeling Text Using Natural Language Processing/10.Install and Setup.mp4 5.1 MB
  • 2.Modeling Text Using Natural Language Processing/07.Numeric Representations of Text - Prediction Based Embeddings.mp4 5.1 MB
  • 2.Modeling Text Using Natural Language Processing/09.Bag of Words - Bag of N Grams.mp4 3.7 MB
  • 1.Course Overview/01.Course Overview.mp4 3.3 MB
  • 2.Modeling Text Using Natural Language Processing/04.Mining Data from Text.mp4 2.8 MB
  • 4.Understanding Topic Modeling/20.Module Overview.mp4 2.4 MB
  • 2.Modeling Text Using Natural Language Processing/13.Module Summary.mp4 2.3 MB
  • 6.Understanding and Implementing Keyword Extraction/38.Summary and Further Study.mp4 2.1 MB
  • 4.Understanding Topic Modeling/23.Module Summary.mp4 2.0 MB
  • 2.Modeling Text Using Natural Language Processing/02.Module Overview.mp4 2.0 MB
  • 6.Understanding and Implementing Keyword Extraction/35.Module Overview.mp4 2.0 MB
  • 5.Implementing Topic Modeling/24.Module Overview.mp4 2.0 MB
  • 5.Implementing Topic Modeling/34.Module Summary.mp4 1.9 MB
  • 3.Building Classification Models Using Text Data/14.Module Overview.mp4 1.9 MB
  • 3.Building Classification Models Using Text Data/19.Module Summary.mp4 1.7 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 12.2 kB
  • 6.Understanding and Implementing Keyword Extraction/37.Keyword Extraction Using RAKE.en.srt 12.0 kB
  • 5.Implementing Topic Modeling/28.Visualizing Topics Using Manifold Learning to Reduce Dimensions .en.srt 11.9 kB
  • 2.Modeling Text Using Natural Language Processing/11.Frequency Based Representation Using Bag of Words and Bag of N Grams Model.en.srt 11.7 kB
  • 3.Building Classification Models Using Text Data/16.Sentiment Analysis Using the Naive Bayes Classifier.en.srt 11.4 kB
  • 5.Implementing Topic Modeling/27.Latent Dirichlet Allocation - Topic Modeling with the DBPedia Dataset.en.srt 11.4 kB
  • 2.Modeling Text Using Natural Language Processing/12.Representing Documents Using TFIDF Scores and Feature Hashes.en.srt 10.2 kB
  • 5.Implementing Topic Modeling/25.Latent Dirichlet Allocation - Topic Modeling with the Newspaper Headlines Dataset.en.srt 10.2 kB
  • 5.Implementing Topic Modeling/32.Latent Semantic Indexing - Preprocessing Text.en.srt 9.4 kB
  • 5.Implementing Topic Modeling/26.Visualizing Topic Assignments Using Manifold Learning to Reduce Dimensions.en.srt 9.4 kB
  • 4.Understanding Topic Modeling/22.Topic Modeling Algorithms.en.srt 9.2 kB
  • 2.Modeling Text Using Natural Language Processing/06.Numeric Representations of Text - Frequency Based Encodings.en.srt 8.4 kB
  • 3.Building Classification Models Using Text Data/17.scikit-learn Pipelines to Build Features .en.srt 8.3 kB
  • 3.Building Classification Models Using Text Data/18.Multiclass Classification.en.srt 7.8 kB
  • 5.Implementing Topic Modeling/33.Concept Modeling Using LSI.en.srt 7.7 kB
  • 2.Modeling Text Using Natural Language Processing/05.Numeric Representations of Text - One Hot Encoding.en.srt 7.6 kB
  • 3.Building Classification Models Using Text Data/15.Naive Bayes Classifier.en.srt 7.5 kB
  • 6.Understanding and Implementing Keyword Extraction/36.Understanding RAKE for Keyword Extraction.en.srt 7.2 kB
  • 5.Implementing Topic Modeling/30.Non-negative Matrix Factorization - Topic Modeling with the DBPedia Dataset.en.srt 7.1 kB
  • 5.Implementing Topic Modeling/31.Interactive Topic Visualization Using Bokeh.en.srt 6.2 kB
  • 2.Modeling Text Using Natural Language Processing/08.Feature Hashing.en.srt 5.6 kB
  • 2.Modeling Text Using Natural Language Processing/07.Numeric Representations of Text - Prediction Based Embeddings.en.srt 5.5 kB
  • 5.Implementing Topic Modeling/29.Interactive Topic Model Visualization Using PyLDAVis.en.srt 4.6 kB
  • 2.Modeling Text Using Natural Language Processing/10.Install and Setup.en.srt 4.5 kB
  • 2.Modeling Text Using Natural Language Processing/09.Bag of Words - Bag of N Grams.en.srt 3.9 kB
  • 2.Modeling Text Using Natural Language Processing/04.Mining Data from Text.en.srt 3.2 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 2.7 kB
  • 4.Understanding Topic Modeling/23.Module Summary.en.srt 2.7 kB
  • 2.Modeling Text Using Natural Language Processing/13.Module Summary.en.srt 2.6 kB
  • 2.Modeling Text Using Natural Language Processing/02.Module Overview.en.srt 2.2 kB
  • 5.Implementing Topic Modeling/34.Module Summary.en.srt 2.2 kB
  • 5.Implementing Topic Modeling/24.Module Overview.en.srt 2.2 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 2.1 kB
  • 2.Modeling Text Using Natural Language Processing/03.Prerequisites and Course Outline .en.srt 2.0 kB
  • 3.Building Classification Models Using Text Data/19.Module Summary.en.srt 2.0 kB
  • udemycoursedownloader.com.url 132 Bytes
  • Udemy Course downloader.txt 94 Bytes

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相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
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