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  • U: Anonymous
  • D: 2019-06-26 11:44:57
  • C: APPS

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ReScene version pyReScene Auto 0.7 JGTiSO File size CRC
Download
21,037
Stored files
5,121 9F128445
800 352401A6
RAR-files
jgt-9781788991704.rar 15,000,000 68F190EC
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jgt-9781788991704.r22 15,000,000 87B4DBB1
jgt-9781788991704.r23 14,830,559 091565EC
Total size: 374,830,559
Archived files
Packt Building Recommendation Systems with Python\01.Get Started with Text Mining and Cleaning Data\0101.The Course Overview.mp4 [575e0b96b84fe36f] 8,439,023 1D6B8385
Packt Building Recommendation Systems with Python\01.Get Started with Text Mining and Cleaning Data\0102.Exploring Recommendation Engines.mp4 [b505eeead7335053] 7,605,167 0FC4554F
Packt Building Recommendation Systems with Python\01.Get Started with Text Mining and Cleaning Data\0103.Working with Variables You Are Taking into Consideration.mp4 [31818e8c755d8bb6] 8,886,979 6318D78E
Packt Building Recommendation Systems with Python\01.Get Started with Text Mining and Cleaning Data\0104.Setting Up Your Working Environment.mp4 [db19a98b3486c9ec] 17,211,536 03E1DF5D
Packt Building Recommendation Systems with Python\01.Get Started with Text Mining and Cleaning Data\0105.Understanding Text Data Source and Variables.mp4 [6793ee6a6ece3770] 27,427,396 E805EBF9
Packt Building Recommendation Systems with Python\01.Get Started with Text Mining and Cleaning Data\0106.Imputation Methods for Missing Data.mp4 [9e1a25def94d4c8f] 16,413,808 C7943FD4
Packt Building Recommendation Systems with Python\02.Collaborative Filtering-Based Recommender System\0201.Understanding Collaborative Filtering.mp4 [d62ef2a219df4d4b] 5,866,442 29D44C93
Packt Building Recommendation Systems with Python\02.Collaborative Filtering-Based Recommender System\0202.Exploring the Required Functions – Logic.mp4 [50574bc2f48aaa11] 4,277,931 2248ACF0
Packt Building Recommendation Systems with Python\02.Collaborative Filtering-Based Recommender System\0203.Implementation of CF Recommender System.mp4 [22d4bd3287188d0f] 5,875,408 3123F7E1
Packt Building Recommendation Systems with Python\02.Collaborative Filtering-Based Recommender System\0204.Applying the CF Algorithm to the IMDBs Dataset.mp4 [8431c18545663e52] 10,329,284 E0094E8C
Packt Building Recommendation Systems with Python\02.Collaborative Filtering-Based Recommender System\0205.Evaluating the Collaborative Filtering Recommender.mp4 [297b0e1e452c1b47] 9,563,578 49278659
Packt Building Recommendation Systems with Python\03.Content and Popularity Based Recommender Systems\0301.Understanding Content-Based Recommender System.mp4 [7ac52cb63b7a3602] 6,680,612 8128E87B
Packt Building Recommendation Systems with Python\03.Content and Popularity Based Recommender Systems\0302.Implementing the Content-Based Recommender System.mp4 [a3f5a6697024dbf6] 19,789,438 021DF4CC
Packt Building Recommendation Systems with Python\03.Content and Popularity Based Recommender Systems\0303.Understanding Popularity-Based Recommender System.mp4 [e2c0668355e3ebd9] 10,787,278 96F9E0C3
Packt Building Recommendation Systems with Python\03.Content and Popularity Based Recommender Systems\0304.Implementing the Popularity-Based Recommender System.mp4 [964c6ed1001c5b64] 10,049,477 BFFF0379
Packt Building Recommendation Systems with Python\03.Content and Popularity Based Recommender Systems\0305.Evaluating Content-Based and Popularity-Based Recommender Systems.mp4 [8743c9b3c47a73ac] 10,755,387 AA0C9B0A
Packt Building Recommendation Systems with Python\04.Hybrid Recommender System\0401.Exploring Hybrid Filtering Techniques.mp4 [647dafdbcac0eb01] 9,607,090 428052F2
Packt Building Recommendation Systems with Python\04.Hybrid Recommender System\0402.Working with the Required Functions – Logic.mp4 [a852f778a44f4a08] 7,267,315 F82C9CA9
Packt Building Recommendation Systems with Python\04.Hybrid Recommender System\0403.Algorithm Implementation for Hybrid Recommender System.mp4 [aa4edb414f365975] 5,352,999 CD51D02B
Packt Building Recommendation Systems with Python\04.Hybrid Recommender System\0404.Implementation of the Hybrid Recommender System.mp4 [70714d9ed626d504] 16,317,439 B25F9B19
Packt Building Recommendation Systems with Python\04.Hybrid Recommender System\0405.Evaluating the Hybrid Recommender System.mp4 [625c9606167b146c] 7,733,970 3BEADAC6
Packt Building Recommendation Systems with Python\05.Flask Web Application Using PyCharm\0501.Understanding the Web Framework – Flask.mp4 [a18b3fdd4dd7ea5f] 9,036,027 8C35B4B8
Packt Building Recommendation Systems with Python\05.Flask Web Application Using PyCharm\0502.Setting Up the Integrated Development Environment.mp4 [7f0273f24fa6fa18] 16,866,336 830C109A
Packt Building Recommendation Systems with Python\05.Flask Web Application Using PyCharm\0503.Creating a Web Application Using Flask.mp4 [5f70dd009dcbf427] 81,310,996 4B975708
Packt Building Recommendation Systems with Python\05.Flask Web Application Using PyCharm\0504.Implementation of a Web Application Using Flask.mp4 [63b2df286829f3bf] 28,059,611 4D92C276
Packt Building Recommendation Systems with Python\Exercise Files\exercise_files.zip 9,593,424 21D893D6
Packt Building Recommendation Systems with Python\01.Get Started with Text Mining and Cleaning Data 0 00000000
Packt Building Recommendation Systems with Python\02.Collaborative Filtering-Based Recommender System 0 00000000
Packt Building Recommendation Systems with Python\03.Content and Popularity Based Recommender Systems 0 00000000
Packt Building Recommendation Systems with Python\04.Hybrid Recommender System 0 00000000
Packt Building Recommendation Systems with Python\05.Flask Web Application Using PyCharm 0 00000000
Packt Building Recommendation Systems with Python\Exercise Files 0 00000000
Packt Building Recommendation Systems with Python 0 00000000
Total size: 371,103,951
RAR Recovery
Present (Protect+) 3,714,270
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