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  • U: Anonymous
  • D: 2022-06-04 22:46:44
  • C: Unknown
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ReScene version pyReScene Auto 0.7 iLEARN File size CRC
Download
21,431
Stored files
205 07109503
4,872 ED5EF067
RAR-files
ilearn-lralrurs.rar 50,000,000 E303E088
ilearn-lralrurs.r00 50,000,000 6DBA877D
ilearn-lralrurs.r01 50,000,000 A6300A7A
ilearn-lralrurs.r02 50,000,000 3CF642C5
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ilearn-lralrurs.r06 50,000,000 DA31DCBB
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ilearn-lralrurs.r11 50,000,000 B970450F
ilearn-lralrurs.r12 50,000,000 50028BB2
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ilearn-lralrurs.r14 50,000,000 9C72632A
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ilearn-lralrurs.r19 50,000,000 2815EA9A
ilearn-lralrurs.r20 50,000,000 26B13FA5
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ilearn-lralrurs.r36 50,000,000 2D8768B4
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ilearn-lralrurs.r39 50,000,000 DFCA4DEB
ilearn-lralrurs.r40 50,000,000 2CE8D19B
ilearn-lralrurs.r41 50,000,000 7DEA00C8
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ilearn-lralrurs.r43 50,000,000 7126EDC4
ilearn-lralrurs.r44 50,000,000 286C8600
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ilearn-lralrurs.r52 50,000,000 AE8F52AA
ilearn-lralrurs.r53 23,381,334 CE1FEB41
Total size: 2,723,381,334
Archived files
5. Types of Statistics.mp4 [35503fe7bd32f13] 11,457,595 5EE995A3
6. Describing the data graphically.mp4 [d7c64977c8bea17a] 68,514,440 82E20E3E
7. Measures of Centers.mp4 [f40700c0b7ab11e8] 40,456,524 08AB0BEC
8. Measures of Dispersion.mp4 [94ad0c94d52a3cf8] 23,970,701 6194AB70
9. Installing R and R studio.mp4 [4514061b57d85356] 37,428,520 C1908EE7
10. Basics of R and R studio.mp4 [576869b30be9ecc1] 40,729,503 408BB558
11. Packages in R.mp4 [fbf657069d68cea6] 86,990,626 F4D9274C
12. Inputting data part 1 Inbuilt datasets of R.mp4 [93bb68bcdf502807] 42,714,182 8EC98444
13. Inputting data part 2 Manual data entry.mp4 [7104c17a07a919a2] 26,749,880 D6E8AD26
14. Inputting data part 3 Importing from CSV or Text files.mp4 [a66c459daadb04b3] 63,007,389 E1514A7B
15. Creating Barplots in R.mp4 [b1f1ef9a8f928bf2] 101,449,773 85A251C2
16. Creating Histograms in R.mp4 [2ae05883d8d5b6ff] 44,044,673 4CA68B7D
17. Gathering Business Knowledge.mp4 [6d1ad70deb073ece] 15,233,798 F164533F
18. Data Exploration.mp4 [559e7df622103121] 21,088,864 2AE705A8
19. The Data and the Data Dictionary.mp4 [c4b46fc8926b15d6] 72,697,028 35C6C906
20. Importing the dataset into R.mp4 [d5b5448847c9f353] 13,740,640 9565EAA8
21. Univariate Analysis and EDD.mp4 [ac231d2cd2c8465b] 25,389,087 14608F3A
22. EDD in R.mp4 [dbcee6eed5772d00] 101,691,196 C21D80DE
23. Outlier Treatment.mp4 [c74da76b9b9ab73a] 25,662,164 88B41886
24. Outlier Treatment in R.mp4 [67b9f77b686a2c48] 32,222,690 9C1EC07B
25. Missing Value imputation.mp4 [38ba57b868ec4145] 26,193,011 1BF80495
26. Missing Value imputation in R.mp4 [b1243d5c6e6a06a6] 27,259,438 E2C83B0C
27. Seasonality in Data.mp4 [57d26821019ac7e8] 17,846,533 7E9F06DC
28. Bi-variate Analysis and Variable Transformation.mp4 [859e26616422bbb1] 105,336,706 0F038419
29. Variable transformation in R.mp4 [af491bc815b09dde] 58,106,865 8957A902
30. Non Usable Variables.mp4 [267672b50e1ce802] 21,221,023 D0B726A2
31. Dummy variable creation Handling qualitative data.mp4 [88f0e4315df24a07] 38,593,723 C3000016
32. Dummy variable creation in R.mp4 [b14a6d9f87433a68] 46,148,853 EBD3A476
33. Correlation Matrix and cause-effect relationship.mp4 [4ab45a0b59ccf862] 75,054,942 A0BD0E25
34. Correlation Matrix in R.mp4 [dd5fee221f8d9ad4] 87,194,016 3AACCE58
35. The problem statement.mp4 [a03b49df4143ba01] 9,830,666 4D51D522
36. Basic equations and Ordinary Least Squared (OLS) method.mp4 [20afad4baa0ed52a] 45,479,863 03260DE4
37. Assessing Accuracy of predicted coefficients.mp4 [91f1d5f2e3c6b073] 96,560,437 DF5092BB
38. Assessing Model Accuracy - RSE and R squared.mp4 [a1e946c1b4787bfd] 45,729,203 1DCDF212
39. Simple Linear Regression in R.mp4 [675854f1e77de51c] 42,803,535 D8CE2E7A
40. Multiple Linear Regression.mp4 [3843706b81e92d2b] 35,972,463 1E1B944F
41. The F - statistic.mp4 [f850ef2c8ee5b240] 58,744,370 4E8E1675
42. Interpreting result for categorical Variable.mp4 [ffa67d821844491] 23,587,681 F18C1054
43. Multiple Linear Regression in R.mp4 [dba0c281d155c12] 65,425,403 C474654F
44. Test-Train split.mp4 [91ce28de81823bad] 43,901,316 275C8458
45. Bias Variance trade-off.mp4 [5b5620b8f5786d39] 26,320,384 3C04FD21
47. Test-Train Split in R.mp4 [886a31625d4e80a7] 79,323,074 CFCB0CB1
48. The Data and the Data Dictionary.mp4 [8711c84f81d92c62] 82,860,436 DE993E0D
49. Importing the dataset into R.mp4 [d1ea7d94f0cc5a54] 14,116,130 EC21227D
50. EDD in R.mp4 [d7d1addc30d9f419] 69,741,510 EB28B960
51. Outlier Treatment in R.mp4 [5ca3848a41b01026] 26,594,705 C3DDABC3
52. Missing Value imputation in R.mp4 [8f769f990d244639] 19,975,916 0A6B0E03
53. Variable transformation in R.mp4 [bfd3d48d99a5a71e] 39,873,367 91E2BED9
54. Dummy variable creation in R.mp4 [a4a1c7ef42d2b389] 46,514,367 9AEF5FEF
55. Why can't we use Linear Regression.mp4 [59a7d385518f093a] 17,751,292 0C95622F
56. Logistic Regression.mp4 [b290a95e450e61] 34,520,602 1708004C
57. Training a Simple Logistic model in R.mp4 [5b7300c8d7174557] 26,784,216 E1F71AC1
58. Results of Simple Logistic Regression.mp4 [70045df1b16496e] 28,236,261 9C805A6A
59. Logistic with multiple predictors.mp4 [4a3bbdfbb7828c9e] 8,939,436 9F178BFE
60. Training multiple predictor Logistic model in R.mp4 [7dfcbd06655e1b2c] 16,546,229 290B6C90
61. Confusion Matrix.mp4 [443af9703ca04875] 22,130,246 B3B00122
62. Evaluating Model performance.mp4 [2439f39fc8a9dc1c] 36,903,426 48D28FDB
63. Predicting probabilities, assigning classes and making Confusion Matrix.mp4 [89925b6dddbfda54] 58,399,696 6032DB3D
64. Test-Train Split.mp4 [7c694d042fa93f1d] 41,197,185 24063713
65. Test-Train Split in R.mp4 [ea4611eeea9c30b0] 77,831,330 65724251
66. The final milestone!.mp4 [93d583a4dd81501b] 12,451,109 DA1806FF
1. Introduction.mp4 [315dd56f5426bcd9] 25,640,728 CA43DC11
3. Types of Data.mp4 [4ecd9c1521bff069] 22,813,921 86202609
4. This is a milestone!.mp4 [1864702e5facffd1] 21,675,618 A3F47F3A
Total size: 2,723,370,504
RAR Recovery
Not Present
Labels UNKNOWN
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Execution time: 0.0153 - Memory usage: 0.7MB
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