The most NFOs on the net! (again)
  • U: Anonymous
  • D: 2019-04-12 07:20:39
  • C: APPS
Compression is used

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ReScene version pyReScene Auto 0.7 ELOHiM File size CRC
Download
8,762
Stored files
1,502 E75B7034
420 A858A652
RAR-files
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Total size: 292,398,597
Archived files
01 - Course_Overview.mp4 3,946,431 2497FD51
08 - Drawbacks_of_Reducing_Complexity.mp4 1,870,373 6276C5AD
10 - Demo_-_Establishing_a_Baseline_Model.mp4 4,118,457 44BE12B7
11 - Demo_-_The_Boston_Housing_Prices_Dataset_-_Exploration.mp4 8,272,716 A292FADC
06 - Techniques_to_Reduce_Complexity.mp4 5,237,879 E8EA1084
04 - The_Curse_of_Dimensionality.mp4 8,843,158 90FA701A
12 - Demo_-_Kitchen_Sink_Regression_to_Establish_a_Baseline_Model.mp4 10,947,444 FB981A91
13 - Summary.mp4 2,392,322 66AEAE7F
02 - Module_Overview.mp4 1,718,869 33BE208C
05 - Overfitting_and_the_Bias-variance_Trade-off.mp4 10,170,298 04097E75
03 - Prerequisites_and_Course_Outline.mp4 8,791,001 9E093733
07 - Choosing_the_Right_Technique.mp4 7,073,773 4B4E4509
09 - Demo_-_The_Diabetes_Dataset_-_Exploration.mp4 12,550,505 0EDB30BA
22 - Demo_-_Select_Features_Using_Percentiles_and_Mutual_Information_Analysis.mp4 6,509,417 EF6D5562
24 - Summary.mp4 2,136,156 34A039B7
23 - Demo_-_Dictionary_Learning_on_Handwritten_Digits.mp4 11,204,652 3C63D1E3
15 - Statistical_Techniques_for_Feature_Selection.mp4 5,024,906 957DFE31
18 - Demo_-_Selecting_K_Best_Features_Using_Chi2_Analysis.mp4 7,337,297 BF23D31E
19 - Demo_-_Setting_up_Helper_Functions_for_Feature_Selection.mp4 8,148,722 A89385D2
16 - Conceptual_Overview_of_Different_Feature_Selection_Techniques.mp4 7,322,189 02D4F350
21 - Demo_-_Find_the_Right_Value_for_K_Using_ANOVA.mp4 5,562,749 C0D8550C
17 - Demo_-_Selecting_Features_Using_a_Variance_Threshold.mp4 13,545,032 409AE6CE
20 - Demo_-_Find_the_Right_Value_for_K_Using_Chi2_Analysis.mp4 5,332,422 B4506922
14 - Module_Overview.mp4 1,635,444 3D52CB19
29 - Understanding_Factor_Analysis.mp4 3,782,518 973A2F27
28 - Demo_-_Building_Linear_Models_Using_Principal_Components.mp4 7,478,595 3B46D95B
27 - Demo_-_Performing_PCA_to_Reduce_Dimensionality.mp4 6,462,597 3C25C321
32 - Demo_-_Performing_Linear_Discriminant_Analysis_to_Reorient_Data.mp4 10,984,710 A9107798
31 - Understanding_Linear_Discriminant_Analysis.mp4 3,517,015 7CC51368
33 - Summary.mp4 1,441,862 E4C98D71
25 - Module_Overview.mp4 2,889,371 A57742EB
26 - Understanding_Principal_Components_Analysis.mp4 10,947,006 659FDA1C
30 - Demo_-_Applying_Factor_Analysis_to_Reduce_Dimensionality.mp4 10,769,987 4F8026B2
41 - Summary.mp4 1,736,532 364A55EB
39 - Demo_-_Manifold_Learning_Using_Locally_Linear_Embedding.mp4 7,125,227 06C43D6F
40 - Demo_-_Performing_Kernel_PCA_to_Reduce_Complexity_in_Non_Linear_Data.mp4 14,345,388 A4F6D63A
37 - Demo_-_Manifold_Learning_Using_Multidimensional_Scaling_and_Spectral_Embedding.mp4 8,304,519 E05FEF30
38 - Demo_-_Manifold_Learning_Using_t-SNE_and_Isomap.mp4 5,775,331 2E1782EE
34 - Module_Overview.mp4 3,885,073 B6E36655
35 - Understanding_Manifold_Learning.mp4 8,631,770 11CBF7ED
36 - Demo_-_Generate_Manifold_and_Set_up_Helper_Functions.mp4 10,700,347 FF33ABB1
45 - Demo_-_Transforming_Data_Using_K-means_Cluster_Centers.mp4 6,875,109 269C284F
42 - Module_Overview.mp4 2,060,230 D496DC8F
43 - K-means_Model_Stacking.mp4 4,592,251 7F6206CA
49 - Summary_and_Further_Study.mp4 2,983,093 03814636
46 - Autoencoding.mp4 12,068,288 9C53223B
44 - Demo_-_Classifying_Image_with_Original_Features.mp4 7,555,877 C95DE382
48 - Demo_-_Using_Autoencoders_to_Learn_Efficient_Representations_of_Data.mp4 10,364,023 B2A76ED6
47 - Demo_-_Prepare_Image_Data_to_Feed_an_Autoencoder.mp4 8,799,474 B28D61C3
reducing-complexity-data.zip 34,068,494 E34356B9

Total size: 367,836,899
RAR Recovery
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Labels APPS