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  • U: Anonymous
  • D: 2019-08-18 17:03:41
  • C: Unknown

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ReScene version pyReScene Auto 0.7 XQZT File size CRC
Download
17,236
Stored files
6,409 0D659788
203 82D783DC
RAR-files
pbff-e7lt-xqzt.rar 50,000,000 AC743D61
pbff-e7lt-xqzt.r00 50,000,000 4F08CA37
pbff-e7lt-xqzt.r01 50,000,000 50DA1B55
pbff-e7lt-xqzt.r02 50,000,000 495335CF
pbff-e7lt-xqzt.r03 50,000,000 C7186FC9
pbff-e7lt-xqzt.r04 50,000,000 8FA81827
pbff-e7lt-xqzt.r05 9,669,162 6EF526FB

Total size: 309,669,162
Archived files
5 - Implementing Bin Counting and Feature Hashing\39 - Categorizing Continuous Data Using the KBinsDiscretizer.mp4 [e54700bfdeea3d07] 13,772,781 69BBD686
5 - Implementing Bin Counting and Feature Hashing\38 - Bucketing Continuous Data Using Pandas.mp4 [28629916ed81405c] 5,131,013 74AEB663
5 - Implementing Bin Counting and Feature Hashing\43 - Summary and Further Study.mp4 [493fedb040a762dc] 2,087,370 625E3CAA
5 - Implementing Bin Counting and Feature Hashing\41 - Feature Hashing with Dictionaries, Tuples, and Text Data.mp4 [b3776994cc066cbf] 6,724,553 D5029168
5 - Implementing Bin Counting and Feature Hashing\37 - Bucketing Continuous Data.mp4 [ca59a55399c524b3] 4,888,421 F6EA31E6
5 - Implementing Bin Counting and Feature Hashing\42 - Building a Simple Regression Model Using Hashed Categorical Values.mp4 [76caf320d45d72f1] 7,769,189 1AAC10EF
5 - Implementing Bin Counting and Feature Hashing\40 - Hashing.mp4 [e9ff39ab99a9e818] 5,172,384 33937E22
5 - Implementing Bin Counting and Feature Hashing\36 - Module Overview.mp4 [c673931ea8899e77] 2,484,462 28589304
building-features-nominal-data.zip 3,455,016 9CDD29C6
1 - Course Overview\01 - Course Overview.mp4 [ede2d081f574c774] 3,036,928 3F15A65F
2 - Implementing Approaches to Working with Categorical Data\02 - Module Overview.mp4 [793f489608168416] 2,031,177 87901088
2 - Implementing Approaches to Working with Categorical Data\10 - One-hot Encoding with Known and Unknown Categories.mp4 [37f7960cfc15335b] 11,271,844 7B703C9C
2 - Implementing Approaches to Working with Categorical Data\11 - One-hot Encoding on a Pandas Data Frame Column.mp4 [cc93fff68eeb9c99] 5,512,686 F0E7418C
2 - Implementing Approaches to Working with Categorical Data\04 - Continuous and Categorical Data.mp4 [9d0013a51dd23cb0] 6,928,443 E475188E
2 - Implementing Approaches to Working with Categorical Data\13 - Label Encoding to Convert Categorical Data to Ordinal.mp4 [9e6e5fd670fd2bd7] 13,280,320 2E488E36
2 - Implementing Approaches to Working with Categorical Data\14 - Label Binarizer to Perform One vs. Rest Encoding of Targets .mp4 [b6bb305b1ab6b815] 8,696,978 E176D46C
2 - Implementing Approaches to Working with Categorical Data\05 - Numeric Data.mp4 [40fd39d6abc0bf05] 7,583,908 38832314
2 - Implementing Approaches to Working with Categorical Data\08 - Choosing between Label Encoding and One-hot Encoding.mp4 [e43f2c9c78029c91] 7,139,427 0D94E42F
2 - Implementing Approaches to Working with Categorical Data\15 - Multilabel Binarizer for Encoding Multilabel Targets.mp4 [625c5084ab29581b] 4,994,209 11290691
2 - Implementing Approaches to Working with Categorical Data\16 - Module Summary.mp4 [15e98a54ff9f41c1] 1,880,236 AF3EA62C
2 - Implementing Approaches to Working with Categorical Data\07 - Label Encoding and One-hot Encoding.mp4 [9679c26a59814ddc] 5,477,266 5B8D93BE
2 - Implementing Approaches to Working with Categorical Data\09 - Types of Classification Tasks.mp4 [d8d80db0c3ee7b08] 7,595,841 D0E9DD04
2 - Implementing Approaches to Working with Categorical Data\12 - One-hot Encoding Using pd.get_dummies().mp4 [31190791dd830ea5] 2,197,164 CC9159D2
2 - Implementing Approaches to Working with Categorical Data\06 - Categorical Data.mp4 [5d32944769b620da] 5,369,139 12062828
2 - Implementing Approaches to Working with Categorical Data\03 - Prerequisites and Course Outline.mp4 [4a1f86b3cb496740] 2,145,416 F9ADEA76
3 - Understanding and Implementing Dummy Coding\18 - The Dummy Trap.mp4 [244c76d4c777d88] 8,191,381 681665F3
3 - Understanding and Implementing Dummy Coding\25 - Module Summary.mp4 [9d32fe7a0e6cca3] 1,770,079 82C96D03
3 - Understanding and Implementing Dummy Coding\17 - Module Overview.mp4 [b0a0f4fed99aae39] 2,570,338 933B24EC
3 - Understanding and Implementing Dummy Coding\20 - Dummy Coding to Overcome Limitations of One-hot Encoding.mp4 [e726760d6b78b946] 11,691,482 7459C91A
3 - Understanding and Implementing Dummy Coding\22 - Dummy Coding Using Patsy.mp4 [d76282a2879e058e] 13,615,012 D6ABBFC1
3 - Understanding and Implementing Dummy Coding\23 - Perform Regression Analysis Using Machine Learning on Dummy Coded Categories.mp4 [1714f12db36a0549] 8,120,788 5D8BF3F0
3 - Understanding and Implementing Dummy Coding\21 - Regression Analysis with Dummy or Treatment Coding.mp4 [80a28a796627a572] 12,584,771 07FDDFBD
3 - Understanding and Implementing Dummy Coding\24 - Performing Linear Regression Using Machine Learning with One-hot Encoded Categories.mp4 [cbd9ccc3abe92401] 5,966,012 0FF9B338
3 - Understanding and Implementing Dummy Coding\19 - Avoiding the Dummy Trap.mp4 [e32f1e8064a88aec] 7,755,197 0098EA24
4 - Understanding and Implementing Contrast Coding\33 - Generating Equally Spaced Categories to Perform Orthogonal Polynomial Encoding.mp4 [b689e612d279b970] 10,998,549 5CC12D7A
4 - Understanding and Implementing Contrast Coding\35 - Module Summary.mp4 [45e76c5c037692ba] 2,007,910 D3673A36
4 - Understanding and Implementing Contrast Coding\27 - Dummy Coding vs. Contrast Coding.mp4 [b30f76b62f8f9365] 6,831,962 44FE3DB4
4 - Understanding and Implementing Contrast Coding\30 - Performing Linear Regression Using Machine Learning with Simple Effect Coding.mp4 [31d80caf96158565] 13,162,257 BF72EB5C
4 - Understanding and Implementing Contrast Coding\32 - Regression Using Helmert Encoding.mp4 [6ce23ff09c34a4d9] 16,125,239 30BFF770
4 - Understanding and Implementing Contrast Coding\31 - Regression Using Backward Difference Encoding.mp4 [9448ad7182bda894] 14,346,840 9A0A3286
4 - Understanding and Implementing Contrast Coding\28 - Exploring Contrast Coding Techniques.mp4 [758e4925cbda3fff] 7,382,570 7ABEFD33
4 - Understanding and Implementing Contrast Coding\34 - Performing Regression Analysis Using Orthogonal Polynomial Encoding.mp4 [70b1265d7e583bd3] 5,721,248 9E4CD171
4 - Understanding and Implementing Contrast Coding\29 - Regression Analysis Using Simple Effect Coding.mp4 [fe3db44b15fb4048] 12,449,563 56618E7A
4 - Understanding and Implementing Contrast Coding\26 - Module Overview.mp4 [86a542f020546df8] 1,744,545 9ECE191D
5 - Implementing Bin Counting and Feature Hashing 0 00000000
1 - Course Overview 0 00000000
2 - Implementing Approaches to Working with Categorical Data 0 00000000
3 - Understanding and Implementing Dummy Coding 0 00000000
4 - Understanding and Implementing Contrast Coding 0 00000000

Total size: 309,661,914
RAR Recovery
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