|
RAR-files |
| ilearn-fttmdsas.rar |
15,000,000 |
00BDE9D3 |
| ilearn-fttmdsas.r00 |
15,000,000 |
A851F49D |
| ilearn-fttmdsas.r01 |
15,000,000 |
7725BFA8 |
| ilearn-fttmdsas.r02 |
15,000,000 |
CEE4C848 |
| ilearn-fttmdsas.r03 |
15,000,000 |
360635D8 |
| ilearn-fttmdsas.r04 |
15,000,000 |
A8F645EA |
| ilearn-fttmdsas.r05 |
15,000,000 |
7C1745E7 |
| ilearn-fttmdsas.r06 |
15,000,000 |
B968C81B |
| ilearn-fttmdsas.r07 |
15,000,000 |
90F95AA7 |
| ilearn-fttmdsas.r08 |
6,306,603 |
F84234B5 |
|
| Total size: |
141,306,603 |
|
|
| Archived
files |
|
5. Sensitivity.mp4
[e58d5a132ea8e9c6]
|
1,272,184 |
4FF63EB3 |
|
6. Precision.mp4
[8c3d235189044275]
|
1,106,985 |
EA723155 |
|
7. Specificity.mp4
[686ab146222da033]
|
1,812,640 |
4711108A |
|
8. PPV & NPV.mp4
[af843aaca08185b2]
|
1,815,562 |
2595D6C9 |
|
9. Fall out.mp4
[a4c2e43773d261d5]
|
1,288,939 |
A5962922 |
|
10. FDR.mp4
[740df3173b0a3632]
|
6,905,578 |
EAEDA070 |
|
11. Miss Rate.mp4
[5d9bc5e521f99520]
|
1,170,859 |
D5728391 |
|
12. Accuracy.mp4
[ee21f561cceb2abb]
|
1,340,533 |
E0D4110A |
|
13. F-score.mp4
[8a0df1263891b91f]
|
7,993,449 |
5DCE5DE0 |
|
14. Centrality measure.mp4
[aed42745c180e2cc]
|
629,505 |
35FBDDC5 |
|
15. Mean.mp4
[65edd7cc367274e2]
|
2,299,049 |
39D232B5 |
|
16. Median.mp4
[b1e23fd12142659e]
|
3,127,179 |
F07C9AED |
|
17. Mode.mp4
[dd74787c91b7df16]
|
1,276,014 |
E587BF0F |
|
18. Spread Dispersion Measure.mp4
[ee94b956e304deb4]
|
1,504,675 |
6E89E7F4 |
|
19. Range.mp4
[af3cb406e323bcd8]
|
1,828,538 |
833B008D |
|
20. Variance.mp4
[fbf8cff7bd26f440]
|
2,899,356 |
773427DF |
|
21. Standard Deviation.mp4
[c50692827279e1ff]
|
2,581,666 |
1FFB6A47 |
|
22. Data Science Measure's Index.mp4
[5f190a9b6fc17af5]
|
1,434,917 |
14EE3914 |
|
23. Grouping.mp4
[9052ff213bdbd47f]
|
1,497,155 |
9C02AAB4 |
|
24. Cross tab.mp4
[45cecf65b81b11f8]
|
2,668,911 |
337C99A7 |
|
25. Pivot table.mp4
[1e7e9ce586464b9c]
|
1,931,375 |
AB04EF33 |
|
26. Imputation.mp4
[53f25ea169ef75b4]
|
5,813,224 |
25CA0626 |
|
27. Data filling Algorithm.mp4
[da1dbfcf44617d3]
|
924,698 |
2979DAB6 |
|
28. Outlier Detection.mp4
[38cceae714f2d5a7]
|
5,637,147 |
4D35C47E |
|
29. Machine Learning Measure's Index.mp4
[4b3f4445aad2ca66]
|
1,270,974 |
B2C90491 |
|
30. MCC.mp4
[b629b996f38fc32a]
|
4,952,271 |
B522A7CB |
|
31. Box plot.mp4
[2771f0fba99e2638]
|
2,164,052 |
BFC82A0D |
|
32. Radar plot.mp4
[fe0b50be15706774]
|
1,812,971 |
87C58E87 |
|
33. ROC-AUC.mp4
[f55fd8f8cd6f33f8]
|
10,386,478 |
6E0F0678 |
|
34. Steganography Measure's Index.mp4
[882cd6a1fa3ef2aa]
|
972,656 |
0EDAACB6 |
|
35. Histogram.mp4
[c62e45c5f68b0e70]
|
1,759,722 |
E80E0F4B |
|
36. MSE.mp4
[1d42ecbbca5642eb]
|
3,064,967 |
3F7A52EF |
|
37. PSNR.mp4
[5bdac881710bcd85]
|
6,136,842 |
C20132D7 |
|
38. SSIM.mp4
[2c3fddd45a0e86ab]
|
6,458,479 |
4A2DDD8D |
|
39. Chi-square.mp4
[c2476a471c9fc916]
|
2,088,629 |
B1154B4D |
|
40. RS Analysis.mp4
[2f04628fe9e404fb]
|
2,054,392 |
2FC6F7BD |
|
41. StegExpose.mp4
[99f96cba7d9db885]
|
2,183,791 |
61DEB7D6 |
|
42. Embedded Capacity.mp4
[cf7a0819b9a33861]
|
886,117 |
D4616FD7 |
|
43. FOBP.mp4
[2235cd1d2a07cf96]
|
2,005,544 |
71E5A16B |
|
44. Bit Rate.mp4
[e18021230326cc70]
|
1,052,351 |
28938758 |
|
45. Conclusion.mp4
[832d28317962b0c7]
|
7,111,028 |
361BC65E |
|
1. Introduction.mp4
[a400c329b524904c]
|
8,600,796 |
116B4899 |
|
2. Course Structure.mp4
[1ef1af2e7ef47f03]
|
1,199,646 |
F1F00D40 |
|
3. General Statistical Measure's Index.mp4
[ba5edff471f6edb2]
|
2,204,327 |
CBB34AAF |
|
4. Confusion Matrix.mp4
[9c1a53172e8c6660]
|
12,176,995 |
8A237E66 |
|
| Total size: |
141,303,166 |
|
|
