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RAR-files |
| ilearn-sfbsvmirs.rar |
50,000,000 |
024E4211 |
| ilearn-sfbsvmirs.r00 |
50,000,000 |
2BD3061A |
| ilearn-sfbsvmirs.r01 |
50,000,000 |
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| ilearn-sfbsvmirs.r02 |
50,000,000 |
DCCA6DE0 |
| ilearn-sfbsvmirs.r03 |
50,000,000 |
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| ilearn-sfbsvmirs.r04 |
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| ilearn-sfbsvmirs.r05 |
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| ilearn-sfbsvmirs.r06 |
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| ilearn-sfbsvmirs.r07 |
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| ilearn-sfbsvmirs.r08 |
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| ilearn-sfbsvmirs.r09 |
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3CE9CF74 |
| ilearn-sfbsvmirs.r10 |
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| ilearn-sfbsvmirs.r11 |
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| ilearn-sfbsvmirs.r12 |
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| ilearn-sfbsvmirs.r13 |
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| ilearn-sfbsvmirs.r14 |
50,000,000 |
403BFF68 |
| ilearn-sfbsvmirs.r15 |
50,000,000 |
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| ilearn-sfbsvmirs.r16 |
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| ilearn-sfbsvmirs.r17 |
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| ilearn-sfbsvmirs.r18 |
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| ilearn-sfbsvmirs.r19 |
50,000,000 |
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| ilearn-sfbsvmirs.r20 |
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| ilearn-sfbsvmirs.r21 |
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| ilearn-sfbsvmirs.r22 |
50,000,000 |
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| ilearn-sfbsvmirs.r23 |
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| ilearn-sfbsvmirs.r24 |
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| ilearn-sfbsvmirs.r25 |
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| ilearn-sfbsvmirs.r26 |
50,000,000 |
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| ilearn-sfbsvmirs.r27 |
50,000,000 |
B6340AD3 |
| ilearn-sfbsvmirs.r28 |
50,000,000 |
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| ilearn-sfbsvmirs.r29 |
50,000,000 |
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| ilearn-sfbsvmirs.r30 |
50,000,000 |
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| ilearn-sfbsvmirs.r31 |
50,000,000 |
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| ilearn-sfbsvmirs.r32 |
50,000,000 |
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| ilearn-sfbsvmirs.r33 |
50,000,000 |
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| ilearn-sfbsvmirs.r34 |
50,000,000 |
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| ilearn-sfbsvmirs.r35 |
50,000,000 |
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| ilearn-sfbsvmirs.r36 |
50,000,000 |
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| ilearn-sfbsvmirs.r37 |
50,000,000 |
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| ilearn-sfbsvmirs.r38 |
50,000,000 |
1E26CB2B |
| ilearn-sfbsvmirs.r39 |
50,000,000 |
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| ilearn-sfbsvmirs.r40 |
50,000,000 |
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| ilearn-sfbsvmirs.r41 |
50,000,000 |
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| ilearn-sfbsvmirs.r42 |
50,000,000 |
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| ilearn-sfbsvmirs.r43 |
50,000,000 |
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| ilearn-sfbsvmirs.r44 |
50,000,000 |
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| ilearn-sfbsvmirs.r45 |
50,000,000 |
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| ilearn-sfbsvmirs.r46 |
50,000,000 |
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| ilearn-sfbsvmirs.r47 |
50,000,000 |
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| ilearn-sfbsvmirs.r48 |
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| ilearn-sfbsvmirs.r49 |
14,487,373 |
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| Total size: |
2,514,487,373 |
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| Archived
files |
|
4. This is a milestone!.mp4
[f6001644fa34e1ee]
|
21,671,442 |
D687AAEB |
|
5. Packages in R.mp4
[db2dce0ae26f6fec]
|
103,305,497 |
C16DA0A9 |
|
6. Inputting data part 1 Inbuilt datasets of R.mp4
[7c18cd82c2712039]
|
48,396,340 |
F3346657 |
|
7. Inputting data part 2 Manual data entry.mp4
[79e27a4fd126e861]
|
32,273,964 |
4189CD40 |
|
8. Inputting data part 3 Importing from CSV or Text files.mp4
[71c241f4b088a20c]
|
72,345,241 |
B0D6DE84 |
|
9. Creating Barplots in R.mp4
[efa0a568c0d1546]
|
122,923,926 |
93ECD3B1 |
|
10. Creating Histograms in R.mp4
[23bc4d1c65e39046]
|
53,851,704 |
AB376832 |
|
11. Introduction to Machine Learning.mp4
[9631443fe738f0fd]
|
129,211,368 |
A4742099 |
|
12. Building a Machine Learning Model.mp4
[e1885170e23ad9]
|
47,054,911 |
5FAAB801 |
|
13. Course flow.mp4
[cdd8a8bcdf1f0edd]
|
10,248,827 |
78B7F666 |
|
14. The Concept of a Hyperplane.mp4
[b52f52e72071a61f]
|
37,031,402 |
559BC6CD |
|
15. Maximum Margin Classifier.mp4
[9c813c3ab4728129]
|
27,414,072 |
96E1987E |
|
16. Limitations of Maximum Margin Classifier.mp4
[2ae2aa193a3c9cee]
|
13,106,529 |
12ABA1D9 |
|
17. Support Vector classifiers.mp4
[ad19e883f807bc93]
|
67,252,468 |
C34854EE |
|
18. Limitations of Support Vector Classifiers.mp4
[8cead0ab97b4075f]
|
13,601,303 |
2437DD29 |
|
19. Kernel Based Support Vector Machines.mp4
[5aa4f571a79f6244]
|
47,948,695 |
2B7FB764 |
|
20. The Data set for the Classification problem.mp4
[37002fdb339b3ae1]
|
23,088,802 |
0FF102D4 |
|
21. Importing Data into R.mp4
[ee99220f4cc23f9f]
|
68,535,789 |
A3A89C26 |
|
22. Test-Train Split.mp4
[9a8fb42403a1a988]
|
62,278,643 |
FEC70C81 |
|
24. Classification SVM model using Linear Kernel.mp4
[b9982d6823b51f60]
|
175,092,112 |
AB8EC977 |
|
25. Hyperparameter Tuning for Linear Kernel.mp4
[a80c850dce21ca68]
|
73,823,243 |
8A4BDEA8 |
|
26. Polynomial Kernel with Hyperparameter Tuning.mp4
[7cab6628104a75d4]
|
103,372,679 |
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|
27. Radial Kernel with Hyperparameter Tuning.mp4
[c5de60c977047a47]
|
70,584,680 |
2AEA29F4 |
|
28. The Data set for the Regression problem.mp4
[6c06e1b98a3b5055]
|
43,737,911 |
752F3562 |
|
29. SVM based Regression Model in R.mp4
[d22e75c167f41d1c]
|
130,070,616 |
E00E8077 |
|
30. Gathering Business Knowledge.mp4
[a042d38d72dd74b6]
|
15,224,843 |
31D60B8F |
|
31. Data Exploration.mp4
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|
21,080,711 |
4F3134F3 |
|
32. The Data and the Data Dictionary.mp4
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|
72,710,787 |
D6417626 |
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33. Importing the dataset into R.mp4
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|
13,742,240 |
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|
34. Univariate Analysis and EDD.mp4
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|
25,386,681 |
51240CC1 |
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35. EDD in R.mp4
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|
101,725,372 |
379CBD2C |
|
36. Outlier Treatment.mp4
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|
25,684,407 |
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37. Outlier Treatment in R.mp4
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|
32,217,504 |
52BFADDE |
|
38. Missing Value imputation.mp4
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|
26,190,555 |
3EDB4566 |
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39. Missing Value imputation in R.mp4
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|
27,259,191 |
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|
40. Seasonality in Data.mp4
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|
17,852,818 |
294DAA08 |
|
41. Bi-variate Analysis and Variable Transformation.mp4
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|
105,403,883 |
9B0DDB57 |
|
42. Variable transformation in R.mp4
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|
58,130,651 |
D99B32AD |
|
43. Non Usable Variables.mp4
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|
21,224,220 |
CEBC3ECF |
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44. Dummy variable creation Handling qualitative data.mp4
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|
38,619,857 |
54AB767B |
|
45. Dummy variable creation in R.mp4
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|
46,141,072 |
58A2C7B8 |
|
46. Correlation Matrix and cause-effect relationship.mp4
[ed45b98c75f49360]
|
75,053,935 |
6969D3FA |
|
47. Correlation Matrix in R.mp4
[e9dc0d537b917bac]
|
87,183,725 |
4030579E |
|
48. The final milestone!.mp4
[9a885e65d75dd708]
|
12,433,232 |
399027FC |
|
1. Installing R and R studio.mp4
[75d8947512ccbebf]
|
42,705,004 |
B0529E69 |
|
3. Basics of R and R studio.mp4
[80ebd1e7b2a47fe8]
|
50,285,258 |
FFB28886 |
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| Total size: |
2,514,478,110 |
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