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[UdemyCourseDownloader] Mining Data from Text
magnet:?xt=urn:btih:d55ed727b512e6fdd2271008d8216557e759bd45&dn=[UdemyCourseDownloader] Mining Data from Text
磁力链接详情
Hash值:
d55ed727b512e6fdd2271008d8216557e759bd45
点击数:
117
文件大小:
276 MB
文件数量:
38
创建日期:
2019-11-18 00:09
最后访问:
2024-11-2 10:57
访问标签:
UdemyCourseDownloader
Mining
Data
from
Text
文件列表详情
1.Course Overview/01.Course Overview.mp4 3.15 MB
2.Modeling Text Using Natural Language Processing/02.Module Overview.mp4 1.94 MB
2.Modeling Text Using Natural Language Processing/03.Prerequisites and Course Outline .mp4 1.45 MB
2.Modeling Text Using Natural Language Processing/04.Mining Data from Text.mp4 2.72 MB
2.Modeling Text Using Natural Language Processing/05.Numeric Representations of Text - One Hot Encoding.mp4 7.19 MB
2.Modeling Text Using Natural Language Processing/06.Numeric Representations of Text - Frequency Based Encodings.mp4 6.96 MB
2.Modeling Text Using Natural Language Processing/07.Numeric Representations of Text - Prediction Based Embeddings.mp4 4.82 MB
2.Modeling Text Using Natural Language Processing/08.Feature Hashing.mp4 5.02 MB
2.Modeling Text Using Natural Language Processing/09.Bag of Words - Bag of N Grams.mp4 3.52 MB
2.Modeling Text Using Natural Language Processing/10.Install and Setup.mp4 4.87 MB
2.Modeling Text Using Natural Language Processing/11.Frequency Based Representation Using Bag of Words and Bag of N Grams Model.mp4 13.97 MB
2.Modeling Text Using Natural Language Processing/12.Representing Documents Using TFIDF Scores and Feature Hashes.mp4 12.61 MB
2.Modeling Text Using Natural Language Processing/13.Module Summary.mp4 2.19 MB
3.Building Classification Models Using Text Data/14.Module Overview.mp4 1.78 MB
3.Building Classification Models Using Text Data/15.Naive Bayes Classifier.mp4 5.9 MB
3.Building Classification Models Using Text Data/16.Sentiment Analysis Using the Naive Bayes Classifier.mp4 14.14 MB
3.Building Classification Models Using Text Data/17.scikit-learn Pipelines to Build Features .mp4 10.4 MB
3.Building Classification Models Using Text Data/18.Multiclass Classification.mp4 9.91 MB
3.Building Classification Models Using Text Data/19.Module Summary.mp4 1.59 MB
4.Understanding Topic Modeling/20.Module Overview.mp4 2.32 MB
4.Understanding Topic Modeling/21.Topic Modeling.mp4 10.29 MB
4.Understanding Topic Modeling/22.Topic Modeling Algorithms.mp4 9.39 MB
4.Understanding Topic Modeling/23.Module Summary.mp4 1.95 MB
5.Implementing Topic Modeling/24.Module Overview.mp4 1.87 MB
5.Implementing Topic Modeling/25.Latent Dirichlet Allocation - Topic Modeling with the Newspaper Headlines Dataset.mp4 12.53 MB
5.Implementing Topic Modeling/26.Visualizing Topic Assignments Using Manifold Learning to Reduce Dimensions.mp4 11.65 MB
5.Implementing Topic Modeling/27.Latent Dirichlet Allocation - Topic Modeling with the DBPedia Dataset.mp4 15.41 MB
5.Implementing Topic Modeling/28.Visualizing Topics Using Manifold Learning to Reduce Dimensions .mp4 18.18 MB
5.Implementing Topic Modeling/29.Interactive Topic Model Visualization Using PyLDAVis.mp4 7.01 MB
5.Implementing Topic Modeling/30.Non-negative Matrix Factorization - Topic Modeling with the DBPedia Dataset.mp4 9.77 MB
5.Implementing Topic Modeling/31.Interactive Topic Visualization Using Bokeh.mp4 10.27 MB
5.Implementing Topic Modeling/32.Latent Semantic Indexing - Preprocessing Text.mp4 13.32 MB
5.Implementing Topic Modeling/33.Concept Modeling Using LSI.mp4 10.78 MB
5.Implementing Topic Modeling/34.Module Summary.mp4 1.8 MB
6.Understanding and Implementing Keyword Extraction/35.Module Overview.mp4 1.88 MB
6.Understanding and Implementing Keyword Extraction/36.Understanding RAKE for Keyword Extraction.mp4 6.2 MB
6.Understanding and Implementing Keyword Extraction/37.Keyword Extraction Using RAKE.mp4 15.22 MB
6.Understanding and Implementing Keyword Extraction/38.Summary and Further Study.mp4 2.03 MB
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