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TORRENT DETAILS

[UdemyCourseDownloader] Mining Data From Text

TORRENT SUMMARY

[UdemyCourseDownloader] Mining Data from Text

Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash:	d55ed727b512e6fdd2271008d8216557e759bd45
Size:	388.6 MB in 78 files
Release Date(s):	Torrent Release: 02-07-2019 by user
Swarm:	0 Seeds & 1 Peers
Vote:	No votes yet.

DESCRIPTION

Description

Download Udemy Paid Courses For Free. Watch Online & Download All the Paid Courses Videos, Books From Udemy, Lynda & More...

For More Fre Courses and Coupons Visit:

https://udemycoursedownloader.net

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FILE LIST

Filename		Size
	1.Course Overview/01.Course Overview.en.srt	2.7 KB
	1.Course Overview/01.Course Overview.mp4	3.2 MB
	2.Modeling Text Using Natural Language Processing/02.Module Overview.en.srt	2.1 KB
	2.Modeling Text Using Natural Language Processing/02.Module Overview.mp4	1.9 MB
	2.Modeling Text Using Natural Language Processing/03.Prerequisites and Course Outline .en.srt	1.9 KB
	2.Modeling Text Using Natural Language Processing/03.Prerequisites and Course Outline .mp4	1.5 MB
	2.Modeling Text Using Natural Language Processing/04.Mining Data from Text.en.srt	3.1 KB
	2.Modeling Text Using Natural Language Processing/04.Mining Data from Text.mp4	2.7 MB
	2.Modeling Text Using Natural Language Processing/05.Numeric Representations of Text - One Hot Encoding.en.srt	7.5 KB
	2.Modeling Text Using Natural Language Processing/05.Numeric Representations of Text - One Hot Encoding.mp4	7.2 MB
	2.Modeling Text Using Natural Language Processing/06.Numeric Representations of Text - Frequency Based Encodings.en.srt	8.2 KB
	2.Modeling Text Using Natural Language Processing/06.Numeric Representations of Text - Frequency Based Encodings.mp4	7 MB
	2.Modeling Text Using Natural Language Processing/07.Numeric Representations of Text - Prediction Based Embeddings.en.srt	5.4 KB
	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/08.Feature Hashing.en.srt	5.5 KB
	2.Modeling Text Using Natural Language Processing/08.Feature Hashing.mp4	5 MB
	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/09.Bag of Words - Bag of N Grams.mp4	3.5 MB
	2.Modeling Text Using Natural Language Processing/10.Install and Setup.en.srt	4.4 KB
	2.Modeling Text Using Natural Language Processing/10.Install and Setup.mp4	4.9 MB
	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
	2.Modeling Text Using Natural Language Processing/11.Frequency Based Representation Using Bag of Words and Bag of N Grams Model.mp4	14 MB
	2.Modeling Text Using Natural Language Processing/12.Representing Documents Using TFIDF Scores and Feature Hashes.en.srt	9.9 KB
	2.Modeling Text Using Natural Language Processing/12.Representing Documents Using TFIDF Scores and Feature Hashes.mp4	12.6 MB
	2.Modeling Text Using Natural Language Processing/13.Module Summary.en.srt	2.5 KB
	2.Modeling Text Using Natural Language Processing/13.Module Summary.mp4	2.2 MB
	3.Building Classification Models Using Text Data/14.Module Overview.en.srt	2 KB
	3.Building Classification Models Using Text Data/14.Module Overview.mp4	1.8 MB
	3.Building Classification Models Using Text Data/15.Naive Bayes Classifier.en.srt	7.3 KB
	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.en.srt	11.2 KB
	3.Building Classification Models Using Text Data/16.Sentiment Analysis Using the Naive Bayes Classifier.mp4	14.1 MB
	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/17.scikit-learn Pipelines to Build Features .mp4	10.4 MB
	3.Building Classification Models Using Text Data/18.Multiclass Classification.en.srt	7.6 KB
	3.Building Classification Models Using Text Data/18.Multiclass Classification.mp4	9.9 MB
	3.Building Classification Models Using Text Data/19.Module Summary.en.srt	1.9 KB
	3.Building Classification Models Using Text Data/19.Module Summary.mp4	1.6 MB
	4.Understanding Topic Modeling/20.Module Overview.en.srt	2.7 KB
	4.Understanding Topic Modeling/20.Module Overview.mp4	2.3 MB
	4.Understanding Topic Modeling/21.Topic Modeling.en.srt	11.9 KB
	4.Understanding Topic Modeling/21.Topic Modeling.mp4	10.3 MB
	4.Understanding Topic Modeling/22.Topic Modeling Algorithms.en.srt	9 KB
	4.Understanding Topic Modeling/22.Topic Modeling Algorithms.mp4	9.4 MB
	4.Understanding Topic Modeling/23.Module Summary.en.srt	2.6 KB
	4.Understanding Topic Modeling/23.Module Summary.mp4	1.9 MB
	5.Implementing Topic Modeling/24.Module Overview.en.srt	2.1 KB
	5.Implementing Topic Modeling/24.Module Overview.mp4	1.9 MB
	5.Implementing Topic Modeling/25.Latent Dirichlet Allocation - Topic Modeling with the Newspaper Headlines Dataset.en.srt	9.9 KB
	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.en.srt	9.1 KB
	5.Implementing Topic Modeling/26.Visualizing Topic Assignments Using Manifold Learning to Reduce Dimensions.mp4	11.7 MB
	5.Implementing Topic Modeling/27.Latent Dirichlet Allocation - Topic Modeling with the DBPedia Dataset.en.srt	11.1 KB
	5.Implementing Topic Modeling/27.Latent Dirichlet Allocation - Topic Modeling with the DBPedia Dataset.mp4	15.4 MB
	5.Implementing Topic Modeling/28.Visualizing Topics Using Manifold Learning to Reduce Dimensions .en.srt	11.6 KB
	5.Implementing Topic Modeling/28.Visualizing Topics Using Manifold Learning to Reduce Dimensions .mp4	18.2 MB
	5.Implementing Topic Modeling/29.Interactive Topic Model Visualization Using PyLDAVis.en.srt	4.5 KB
	5.Implementing Topic Modeling/29.Interactive Topic Model Visualization Using PyLDAVis.mp4	7 MB
	5.Implementing Topic Modeling/30.Non-negative Matrix Factorization - Topic Modeling with the DBPedia Dataset.en.srt	7 KB
	5.Implementing Topic Modeling/30.Non-negative Matrix Factorization - Topic Modeling with the DBPedia Dataset.mp4	9.8 MB
	5.Implementing Topic Modeling/31.Interactive Topic Visualization Using Bokeh.en.srt	6.1 KB
	5.Implementing Topic Modeling/31.Interactive Topic Visualization Using Bokeh.mp4	10.3 MB
	5.Implementing Topic Modeling/32.Latent Semantic Indexing - Preprocessing Text.en.srt	9.2 KB
	5.Implementing Topic Modeling/32.Latent Semantic Indexing - Preprocessing Text.mp4	13.3 MB
	5.Implementing Topic Modeling/33.Concept Modeling Using LSI.en.srt	7.6 KB
	5.Implementing Topic Modeling/33.Concept Modeling Using LSI.mp4	10.8 MB
	5.Implementing Topic Modeling/34.Module Summary.en.srt	2.1 KB
	5.Implementing Topic Modeling/34.Module Summary.mp4	1.8 MB
	6.Understanding and Implementing Keyword Extraction/35.Module Overview.en.srt	2.1 KB
	6.Understanding and Implementing Keyword Extraction/35.Module Overview.mp4	1.9 MB
	6.Understanding and Implementing Keyword Extraction/36.Understanding RAKE for Keyword Extraction.en.srt	7.1 KB
	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.en.srt	11.7 KB
	6.Understanding and Implementing Keyword Extraction/37.Keyword Extraction Using RAKE.mp4	15.2 MB
	6.Understanding and Implementing Keyword Extraction/38.Summary and Further Study.en.srt	2.6 KB
	6.Understanding and Implementing Keyword Extraction/38.Summary and Further Study.mp4	2 MB
	Exercise Files/mining-data-text.zip	112.4 MB
	Udemy Course downloader.txt	94 B

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