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  • U: Anonymous
  • D: 2019-08-18 14:23:13
  • C: Unknown

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ReScene version pyReScene Auto 0.7 XQZT File size CRC
Download
19,204
Stored files
6,652 3FE95CB9
232 459CA91B
RAR-files
pdam-ju5q-xqzt.rar 50,000,000 B23DA464
pdam-ju5q-xqzt.r00 50,000,000 86E62622
pdam-ju5q-xqzt.r01 50,000,000 BD0056F1
pdam-ju5q-xqzt.r02 50,000,000 F0F88831
pdam-ju5q-xqzt.r03 50,000,000 771B69CB
pdam-ju5q-xqzt.r04 50,000,000 C5CA9209
pdam-ju5q-xqzt.r05 50,000,000 3D34E33B
pdam-ju5q-xqzt.r06 30,771,815 75FACF95

Total size: 380,771,815
Archived files
designing-machine-learning-model.zip 8,072,022 A7FF142B
3 - Choosing the Right Machine Learning Problem\16 - Reinforcement Learning.mp4 [3386bcb0ff0f01ce] 11,383,372 6B46B1B3
3 - Choosing the Right Machine Learning Problem\18 - Module Summary.mp4 [634eb1005892d923] 2,274,594 0D216AEE
3 - Choosing the Right Machine Learning Problem\14 - Choosing the Right Machine Learning Problem.mp4 [94d3172d9d5e40a3] 10,394,505 77372427
3 - Choosing the Right Machine Learning Problem\17 - Recommendation Systems.mp4 [a731a8a73ac7b8c0] 7,026,693 52F0D3D6
3 - Choosing the Right Machine Learning Problem\13 - Module Overview.mp4 [6fa3e812ffa05bff] 2,047,145 9DAA2FAD
3 - Choosing the Right Machine Learning Problem\15 - Supervised and Unsupervised Learning.mp4 [dd7e20f4195cd026] 13,687,254 F3DB1E50
7 - Building Ensemble Solutions and Neural Network Solutions\52 - Regression Using Bagging and Pasting.mp4 [fcd454eaeb24c5aa] 10,289,876 53E4106F
7 - Building Ensemble Solutions and Neural Network Solutions\51 - Exploring and Preprocessing the Regression Dataset.mp4 [678d3b96a7ae483b] 6,706,642 5CB912C6
7 - Building Ensemble Solutions and Neural Network Solutions\50 - Classification Using Hard Voting and Soft Voting.mp4 [7820f801012ac8ef] 11,876,061 2A677B96
7 - Building Ensemble Solutions and Neural Network Solutions\53 - Regression Using Gradient Boosting.mp4 [10cbb94c95b5ffce] 9,458,234 259F99A3
7 - Building Ensemble Solutions and Neural Network Solutions\49 - Module Overview.mp4 [11ba36b0ee95b7ed] 1,797,993 0FADF76A
7 - Building Ensemble Solutions and Neural Network Solutions\54 - Regression Using Neural Networks.mp4 [1e51451d7c854362] 15,037,952 62FCB59A
7 - Building Ensemble Solutions and Neural Network Solutions\55 - Summary and Further Study.mp4 [d1da19ce98d4d72a] 2,691,578 009211CF
1 - Course Overview\01 - Course Overview.mp4 [1d60228ca8aedb1a] 3,375,073 A6C21EBB
2 - Exploring Approaches to Machine Learning\05 - Sentiment Analysis as a Binary Classification Problem.mp4 [4cb42890185a7103] 3,766,462 CDE80402
2 - Exploring Approaches to Machine Learning\04 - A Case Study - Sentiment Analysis.mp4 [689d1275c4a3b412] 10,601,743 B2018310
2 - Exploring Approaches to Machine Learning\09 - Deep Learning and Neural Networks.mp4 [716ad78b2bb252bf] 8,890,229 B15889E3
2 - Exploring Approaches to Machine Learning\02 - Module Overview.mp4 [6f36eadc03a258cd] 1,991,289 04300F6C
2 - Exploring Approaches to Machine Learning\07 - Traditional Machine Learning Systems.mp4 [42dd71707585fd0f] 7,155,049 587149A0
2 - Exploring Approaches to Machine Learning\12 - Module Summary.mp4 [c8826bb70ffea208] 2,197,106 8423B5A1
2 - Exploring Approaches to Machine Learning\10 - Traditional ML vs. Deep Learning.mp4 [b23f191303911747] 5,144,055 EF9A7956
2 - Exploring Approaches to Machine Learning\11 - Traditional ML Algorithms and Neural Network Design.mp4 [88b93b753a1b8813] 7,002,065 D2BCE2EC
2 - Exploring Approaches to Machine Learning\08 - Representation Machine Learning Systems.mp4 [43aee2633b6f4a78] 3,940,696 C87AAF6E
2 - Exploring Approaches to Machine Learning\06 - Rule Based vs. ML Based Analysis.mp4 [5d5555e33dcade52] 10,467,697 92139CE0
2 - Exploring Approaches to Machine Learning\03 - Prerequisites and Course Outline.mp4 [f1a1664266b1ca1c] 2,651,523 D964F2AB
6 - Designing Machine Learning Workflows\45 - Ensemble Learning.mp4 [bce03fd7c2741811] 10,543,263 FBCDDBAF
6 - Designing Machine Learning Workflows\47 - Custom Neural Networks - Their Characteristics and Applications.mp4 [94c03961ddfc3455] 6,109,109 51022766
6 - Designing Machine Learning Workflows\46 - Averaging and Boosting, Voting and Stacking.mp4 [549bc1e81c9891df] 3,863,977 750AA66D
6 - Designing Machine Learning Workflows\44 - Case Study - PyTorch on the Cloud.mp4 [211cb21f69351d61] 8,729,193 AC4B7B28
6 - Designing Machine Learning Workflows\43 - The Machine Learning Workflow.mp4 [3253204a6a2fefcc] 7,073,585 4B2BC400
6 - Designing Machine Learning Workflows\48 - Module Summary.mp4 [985403ef2dc5ae91] 2,079,665 242977A8
6 - Designing Machine Learning Workflows\42 - Module Overview.mp4 [b54a666baea98c4d] 1,856,015 9E0A09EE
4 - Choosing the Right Machine Learning Solution\22 - Evaluating Regression Models.mp4 [569ce972b5347b68] 8,476,734 C6EDA22E
4 - Choosing the Right Machine Learning Solution\19 - Module Overview.mp4 [2b26119e7a449d98] 3,025,154 EDA37F9C
4 - Choosing the Right Machine Learning Solution\26 - Clustering Models.mp4 [895022ee309ed35f] 9,394,264 0E689ACB
4 - Choosing the Right Machine Learning Solution\29 - Module Summary.mp4 [e33019558884407b] 1,897,978 F16CBDD7
4 - Choosing the Right Machine Learning Solution\28 - Dimensionality Reduction Techniques.mp4 [123d3efcb2f44dd5] 4,416,404 3E097176
4 - Choosing the Right Machine Learning Solution\27 - The Curse of Dimensionality.mp4 [ba791c9ceb4bd50e] 8,991,857 9E347C47
4 - Choosing the Right Machine Learning Solution\24 - Choosing Classification Algorithms.mp4 [d1ecb44248ce0ffd] 4,952,118 A5BD2F36
4 - Choosing the Right Machine Learning Solution\21 - Choosing Regression Algorithms.mp4 [8c814bf6a05b25ce] 6,945,372 6CCA1FF0
4 - Choosing the Right Machine Learning Solution\23 - Types of Classification.mp4 [ead6106b07d547b] 6,312,152 AAB8AE23
4 - Choosing the Right Machine Learning Solution\25 - Evaluating Classifiers.mp4 [19d14e3110f998ed] 6,719,880 F94C2F4A
4 - Choosing the Right Machine Learning Solution\20 - Regression Models.mp4 [215dcdefc7239f68] 3,609,664 84A97038
5 - Building Simple Machine Learning Solutions\40 - Dimensionality Reduction Using Manifold Learning.mp4 [5612f55dbfbd991d] 13,834,725 EB1E4416
5 - Building Simple Machine Learning Solutions\34 - Multiple Regression Using Analytical and Machine Learning Techniques.mp4 [f6a487dcae73a602] 4,960,058 F7B27EF6
5 - Building Simple Machine Learning Solutions\36 - Classification Using Logistic Regression.mp4 [62a99ea689d6754d] 10,991,531 318DE665
5 - Building Simple Machine Learning Solutions\33 - Simple Regression Using Analytical and Machine Learning Techniques.mp4 [bd71f37af5494a66] 11,121,504 EE3A11A0
5 - Building Simple Machine Learning Solutions\41 - Module Summary.mp4 [2e2047db4fbd106d] 2,201,780 DF144FF3
5 - Building Simple Machine Learning Solutions\32 - Exploring the Regression Dataset.mp4 [f6d2b3efd8dc64f9] 6,095,584 DB3D749F
5 - Building Simple Machine Learning Solutions\37 - Classification Using Decision Trees.mp4 [46a6303d907a3856] 7,134,441 DC4EDB6A
5 - Building Simple Machine Learning Solutions\38 - Clustering Using K-means .mp4 [c03beb5fa54a3290] 15,788,608 CA6E8D32
5 - Building Simple Machine Learning Solutions\30 - Module Overview.mp4 [b5e9dcf8097d6c8c] 2,083,971 DC6A3B87
5 - Building Simple Machine Learning Solutions\31 - Install and Set Up.mp4 [cadea7c6b3301e71] 3,748,513 C26E9E13
5 - Building Simple Machine Learning Solutions\39 - Dimensionality Reduction Using Principal Component Analysis.mp4 [69291bfe4d75952e] 9,730,891 73381D47
5 - Building Simple Machine Learning Solutions\35 - Exploring the Classification Dataset.mp4 [b7caa30e4a0daa4d] 8,148,481 1E26B24E
3 - Choosing the Right Machine Learning Problem 0 00000000
7 - Building Ensemble Solutions and Neural Network Solutions 0 00000000
1 - Course Overview 0 00000000
2 - Exploring Approaches to Machine Learning 0 00000000
6 - Designing Machine Learning Workflows 0 00000000
4 - Choosing the Right Machine Learning Solution 0 00000000
5 - Building Simple Machine Learning Solutions 0 00000000

Total size: 380,763,379
RAR Recovery
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