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  • Anonymous
  • 2019-06-29 09:56:27
  • Unknown

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ReScene version pyReScene Auto 0.7 ViGOROUS File size CRC
Download
16,298
Stored files
96 37F4F3A7
306 33F7D397
RAR-files
pmdft-1b37-vigorous.rar 50,000,000 C11C5023
pmdft-1b37-vigorous.r00 50,000,000 506F34E2
pmdft-1b37-vigorous.r01 50,000,000 0BADC484
pmdft-1b37-vigorous.r02 50,000,000 697D8854
pmdft-1b37-vigorous.r03 50,000,000 4D86E891
pmdft-1b37-vigorous.r04 50,000,000 BC8FB168
pmdft-1b37-vigorous.r05 50,000,000 9865ED85
pmdft-1b37-vigorous.r06 50,000,000 DC505E49
pmdft-1b37-vigorous.r07 7,497,184 9535403C
Total size: 407,497,184
Archived files
Mining Data from Text\5.Implementing Topic Modeling\33.Concept Modeling Using LSI.mp4 [8c08f98bb514283a] 11,305,251 641ABCE7
Mining Data from Text\5.Implementing Topic Modeling\32.Latent Semantic Indexing - Preprocessing Text.en.srt 9,405 17504B70
Mining Data from Text\5.Implementing Topic Modeling\30.Non-negative Matrix Factorization - Topic Modeling with the DBPedia Dataset.en.srt 7,136 78831096
Mining Data from Text\5.Implementing Topic Modeling\34.Module Summary.en.srt 2,161 4382756C
Mining Data from Text\5.Implementing Topic Modeling\24.Module Overview.en.srt 2,155 7EA249E8
Mining Data from Text\5.Implementing Topic Modeling\26.Visualizing Topic Assignments Using Manifold Learning to Reduce Dimensions.en.srt 9,357 19FBFD07
Mining Data from Text\5.Implementing Topic Modeling\33.Concept Modeling Using LSI.en.srt 7,742 3FF0972C
Mining Data from Text\5.Implementing Topic Modeling\34.Module Summary.mp4 [5e67e8ebe65be1a5] 1,884,206 3AEEE666
Mining Data from Text\5.Implementing Topic Modeling\25.Latent Dirichlet Allocation - Topic Modeling with the Newspaper Headlines Dataset.en.srt 10,173 F882E621
Mining Data from Text\5.Implementing Topic Modeling\27.Latent Dirichlet Allocation - Topic Modeling with the DBPedia Dataset.en.srt 11,400 00E7743A
Mining Data from Text\5.Implementing Topic Modeling\24.Module Overview.mp4 [facc44923567e0c8] 1,964,036 D5E5C143
Mining Data from Text\5.Implementing Topic Modeling\29.Interactive Topic Model Visualization Using PyLDAVis.en.srt 4,615 E39D87F1
Mining Data from Text\5.Implementing Topic Modeling\25.Latent Dirichlet Allocation - Topic Modeling with the Newspaper Headlines Dataset.mp4 [55d9aca5b06d199b] 13,136,102 869BD36C
Mining Data from Text\5.Implementing Topic Modeling\30.Non-negative Matrix Factorization - Topic Modeling with the DBPedia Dataset.mp4 [2fde19d6eeab95c7] 10,240,587 8D229E2D
Mining Data from Text\5.Implementing Topic Modeling\26.Visualizing Topic Assignments Using Manifold Learning to Reduce Dimensions.mp4 [ddecbea8e60bf5bc] 12,219,085 ECBB997E
Mining Data from Text\5.Implementing Topic Modeling\31.Interactive Topic Visualization Using Bokeh.mp4 [fe9ae9411b0ed405] 10,765,207 28F10127
Mining Data from Text\5.Implementing Topic Modeling\28.Visualizing Topics Using Manifold Learning to Reduce Dimensions .mp4 [5f61a23368dd8fe1] 19,068,203 63D8917E
Mining Data from Text\5.Implementing Topic Modeling\31.Interactive Topic Visualization Using Bokeh.en.srt 6,226 60CB63D4
Mining Data from Text\5.Implementing Topic Modeling\29.Interactive Topic Model Visualization Using PyLDAVis.mp4 [9d6fbef880ebae71] 7,346,026 68BDEC73
Mining Data from Text\5.Implementing Topic Modeling\27.Latent Dirichlet Allocation - Topic Modeling with the DBPedia Dataset.mp4 [8dbe797cec558861] 16,161,240 A1455F8F
Mining Data from Text\5.Implementing Topic Modeling\32.Latent Semantic Indexing - Preprocessing Text.mp4 [30f1d43ad29ac3bd] 13,967,409 B685EDE9
Mining Data from Text\5.Implementing Topic Modeling\28.Visualizing Topics Using Manifold Learning to Reduce Dimensions .en.srt 11,872 FF9052E2
Mining Data from Text\1.Course Overview\01.Course Overview.mp4 [c90d127abc178ba4] 3,304,327 806EF3DB
Mining Data from Text\1.Course Overview\01.Course Overview.en.srt 2,718 1C0F9C71
Mining Data from Text\Exercise Files\mining-data-text.zip 117,838,453 670B6063
Mining Data from Text\4.Understanding Topic Modeling\23.Module Summary.en.srt 2,655 8504FD55
Mining Data from Text\4.Understanding Topic Modeling\23.Module Summary.mp4 [8c187b50cea2b5b6] 2,042,106 B8FB62B1
Mining Data from Text\4.Understanding Topic Modeling\21.Topic Modeling.en.srt 12,153 45F24EAB
Mining Data from Text\4.Understanding Topic Modeling\22.Topic Modeling Algorithms.mp4 [8cbe2b3ec3fa0e05] 9,844,084 9AAD721D
Mining Data from Text\4.Understanding Topic Modeling\21.Topic Modeling.mp4 [5645bff9f18c11bc] 10,792,345 8FA42F92
Mining Data from Text\4.Understanding Topic Modeling\20.Module Overview.en.srt 2,742 5D2B2337
Mining Data from Text\4.Understanding Topic Modeling\20.Module Overview.mp4 [d4d09201170e717f] 2,429,147 018CD9D9
Mining Data from Text\4.Understanding Topic Modeling\22.Topic Modeling Algorithms.en.srt 9,205 16ED6990
Mining Data from Text\2.Modeling Text Using Natural Language Processing\02.Module Overview.mp4 [7fd74814837a2b73] 2,034,356 7EC9EDE0
Mining Data from Text\2.Modeling Text Using Natural Language Processing\13.Module Summary.en.srt 2,555 B8EE9BC4
Mining Data from Text\2.Modeling Text Using Natural Language Processing\05.Numeric Representations of Text - One Hot Encoding.en.srt 7,649 BA9EC8D8
Mining Data from Text\2.Modeling Text Using Natural Language Processing\12.Representing Documents Using TFIDF Scores and Feature Hashes.mp4 [748e2ff432e39622] 13,220,515 2AA285CE
Mining Data from Text\2.Modeling Text Using Natural Language Processing\04.Mining Data from Text.en.srt 3,191 C3E299DA
Mining Data from Text\2.Modeling Text Using Natural Language Processing\03.Prerequisites and Course Outline .mp4 [d58e49f1bf7512e1] 1,522,970 D4F50549
Mining Data from Text\2.Modeling Text Using Natural Language Processing\06.Numeric Representations of Text - Frequency Based Encodings.en.srt 8,403 B83E6509
Mining Data from Text\2.Modeling Text Using Natural Language Processing\09.Bag of Words - Bag of N Grams.mp4 [959004a80af44294] 3,685,754 56C57D45
Mining Data from Text\2.Modeling Text Using Natural Language Processing\13.Module Summary.mp4 [d6c6c8b486bc770d] 2,298,099 74BFCE8E
Mining Data from Text\2.Modeling Text Using Natural Language Processing\05.Numeric Representations of Text - One Hot Encoding.mp4 [ded4bbd68c6f2d8f] 7,544,222 9B259D6C
Mining Data from Text\2.Modeling Text Using Natural Language Processing\09.Bag of Words - Bag of N Grams.en.srt 3,937 569E5FB8
Mining Data from Text\2.Modeling Text Using Natural Language Processing\11.Frequency Based Representation Using Bag of Words and Bag of N Grams Model.mp4 [139c8c23e2d8faa9] 14,648,096 4A145B80
Mining Data from Text\2.Modeling Text Using Natural Language Processing\12.Representing Documents Using TFIDF Scores and Feature Hashes.en.srt 10,181 105C213B
Mining Data from Text\2.Modeling Text Using Natural Language Processing\04.Mining Data from Text.mp4 [8f32da422d62c017] 2,847,624 148FA15D
Mining Data from Text\2.Modeling Text Using Natural Language Processing\02.Module Overview.en.srt 2,195 C5D2387B
Mining Data from Text\2.Modeling Text Using Natural Language Processing\10.Install and Setup.en.srt 4,459 D71DEA1B
Mining Data from Text\2.Modeling Text Using Natural Language Processing\07.Numeric Representations of Text - Prediction Based Embeddings.en.srt 5,533 D3F760CC
Mining Data from Text\2.Modeling Text Using Natural Language Processing\03.Prerequisites and Course Outline .en.srt 1,987 21543619
Mining Data from Text\2.Modeling Text Using Natural Language Processing\07.Numeric Representations of Text - Prediction Based Embeddings.mp4 [8c434d7478504406] 5,053,977 2DA81272
Mining Data from Text\2.Modeling Text Using Natural Language Processing\08.Feature Hashing.mp4 [f465e6b58ab087c9] 5,264,229 A4F43CFC
Mining Data from Text\2.Modeling Text Using Natural Language Processing\08.Feature Hashing.en.srt 5,608 B88F1C13
Mining Data from Text\2.Modeling Text Using Natural Language Processing\11.Frequency Based Representation Using Bag of Words and Bag of N Grams Model.en.srt 11,728 BFD4D83A
Mining Data from Text\2.Modeling Text Using Natural Language Processing\06.Numeric Representations of Text - Frequency Based Encodings.mp4 [ec12caaceb3dfdbd] 7,297,842 F4AE8D1A
Mining Data from Text\2.Modeling Text Using Natural Language Processing\10.Install and Setup.mp4 [72089975bbf7e06a] 5,108,588 A026B7F3
Mining Data from Text\6.Understanding and Implementing Keyword Extraction\38.Summary and Further Study.en.srt 2,699 8E3993E9
Mining Data from Text\6.Understanding and Implementing Keyword Extraction\37.Keyword Extraction Using RAKE.mp4 [611684e740dc5d1f] 15,956,917 2A30BA45
Mining Data from Text\6.Understanding and Implementing Keyword Extraction\36.Understanding RAKE for Keyword Extraction.mp4 [6226b0260d851af7] 6,496,594 F7A08D1F
Mining Data from Text\6.Understanding and Implementing Keyword Extraction\36.Understanding RAKE for Keyword Extraction.en.srt 7,241 6498F522
Mining Data from Text\6.Understanding and Implementing Keyword Extraction\38.Summary and Further Study.mp4 [bedf70761186778c] 2,124,281 60C79057
Mining Data from Text\6.Understanding and Implementing Keyword Extraction\35.Module Overview.mp4 [6f63cb21caa20c67] 1,972,831 84DD893B
Mining Data from Text\6.Understanding and Implementing Keyword Extraction\37.Keyword Extraction Using RAKE.en.srt 11,967 64D98A55
Mining Data from Text\6.Understanding and Implementing Keyword Extraction\35.Module Overview.en.srt 2,100 5A1E5BC2
Mining Data from Text\3.Building Classification Models Using Text Data\17.scikit-learn Pipelines to Build Features .mp4 [e9d34f71b0e5fedb] 10,907,767 C7F26CA3
Mining Data from Text\3.Building Classification Models Using Text Data\19.Module Summary.en.srt 1,985 3F02C915
Mining Data from Text\3.Building Classification Models Using Text Data\14.Module Overview.mp4 [d87a6ad7688c3f25] 1,871,126 0406AF35
Mining Data from Text\3.Building Classification Models Using Text Data\14.Module Overview.en.srt 2,053 277D31B1
Mining Data from Text\3.Building Classification Models Using Text Data\19.Module Summary.mp4 [517018b1201a8b3b] 1,668,579 167076A0
Mining Data from Text\3.Building Classification Models Using Text Data\16.Sentiment Analysis Using the Naive Bayes Classifier.mp4 [ca1578f7538976b2] 14,831,205 FEC1B188
Mining Data from Text\3.Building Classification Models Using Text Data\18.Multiclass Classification.en.srt 7,832 1692B066
Mining Data from Text\3.Building Classification Models Using Text Data\16.Sentiment Analysis Using the Naive Bayes Classifier.en.srt 11,418 76125B7C
Mining Data from Text\3.Building Classification Models Using Text Data\17.scikit-learn Pipelines to Build Features .en.srt 8,309 4011B2EF
Mining Data from Text\3.Building Classification Models Using Text Data\15.Naive Bayes Classifier.mp4 [b2efc075fe0f8271] 6,186,484 8C7BD5D0
Mining Data from Text\3.Building Classification Models Using Text Data\15.Naive Bayes Classifier.en.srt 7,474 590A3A05
Mining Data from Text\3.Building Classification Models Using Text Data\18.Multiclass Classification.mp4 [39c859182e178a77] 10,392,169 E5133563
Mining Data from Text\5.Implementing Topic Modeling 0 00000000
Mining Data from Text\1.Course Overview 0 00000000
Mining Data from Text\Exercise Files 0 00000000
Mining Data from Text\4.Understanding Topic Modeling 0 00000000
Mining Data from Text\2.Modeling Text Using Natural Language Processing 0 00000000
Mining Data from Text\6.Understanding and Implementing Keyword Extraction 0 00000000
Mining Data from Text\3.Building Classification Models Using Text Data 0 00000000
Mining Data from Text 0 00000000
Total size: 407,484,258
RAR Recovery
Not Present
Labels UNKNOWN
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Execution time: 0.0509 - Memory usage: 0.68MB
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