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  • U: Anonymous
  • D: 2023-03-22 05:28:04
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ReScene version pyReScene Auto 0.7 iLEARN File size CRC
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21,043
Stored files
188 FBF22CE0
1,333 B57803B2
RAR-files
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Archived files
4. 2.4 Demo of List function.mp4 [2be25952da003135] 113,947,406 759B1B2D
5. 2.5 Tuples.mp4 [388043e15874748f] 72,148,791 145EFE37
6. 2.6 Python Dictionary.mp4 [af2788781bb000c1] 36,830,552 EB2DDAB2
7. 3.1 Python Operators.mp4 [5775862d35508c6] 35,035,554 1D7AF693
8. 3.2 If Else statement.mp4 [59631426c6f585e3] 26,379,606 CF6473C5
9. 3.3 Indentation.mp4 [79fbce80dc9da175] 31,453,174 B7074828
10. 3.4 Assignment 1.mp4 [e70a40e08ff8c367] 2,832,968 9DEB5891
11. 4.1 Iterative Statements.mp4 [972b076b6633916e] 4,302,455 112B2671
12. 4.2 While Statement.mp4 [65bc29feeed92fd6] 14,690,077 D2C7B49C
13. 4.3 For Statement.mp4 [2a8624a91e4d90b] 6,464,331 B69B192C
14. 4.4 Touple.mp4 [f79ec76310534c39] 4,298,332 BD4167AE
15. 4.5 Assignment 2.mp4 [d0db7c0fa9f25422] 4,136,699 BA7E108F
16. 5.1 Demo 1 For loop.mp4 [37a009c6ef94974f] 11,838,287 10D771F6
17. 5.2 Demo 2 While loop.mp4 [4756be7753bd4662] 39,845,029 8842D930
18. 5.3 Demo 3 Range function.mp4 [7495b490d76275a5] 46,365,250 C0C61447
19. 6.1 Python Bootcamp Introduction.mp4 [8ac156c6bac2b185] 17,784,535 EE5A97CA
20. 6.2 Data Science & ML introduction.mp4 [1632d31ff171bcd2] 29,124,541 B7E3CF61
21. 6.3 Python Crash Course Introductory.mp4 [f0a01ea7742afa04] 12,360,003 FAAEC21C
22. 6.4 Python Crash course lecture 1.mp4 [b9c3945a5fd1cdc9] 92,119,064 F202C4C1
23. 6.5 Dictionaries in Python.mp4 [5ce596f691289b9c] 29,889,183 9A446182
24. 6.6 Jupiter Python Exercises.mp4 [9f29f50e644fd270] 13,539,649 E79223C7
25. 6.7 Operators in Python.mp4 [1ea5b4ccc8e0c396] 63,989,456 F147C7C1
26. 6.8 Iterative Statements.mp4 [84f4b48bbfa50f42] 55,507,703 D4C765C4
27. 6.9 Python Functions.mp4 [ad3e0d3b0957060c] 36,862,896 9F25631E
28. 7.1 Data Analysis Numpy Part 1.mp4 [ced5b206baf7db07] 108,419,884 A847E5CE
29. 7.2 Data Analysis Numpy Part 2.mp4 [ef630ddb5c6026cb] 82,810,461 B7362E23
30. 7.3 Data Analysis Numpy Part 3.mp4 [f13d0adf6fe4bf65] 46,348,955 71C8EDF4
31. 7.4 Data Analysis Numpy Part 4.mp4 [a467dce9c59b4fc7] 100,706,406 9E9BA2DB
32. 8.1 Data analysis Pandas part 1.mp4 [ea56172becbeab1] 22,048,407 0A7994DD
33. 8.2 Data analysis Pandas part 2.mp4 [782cb82971861a42] 55,803,801 2E1EDF24
34. 8.3 Data analysis pandas Part 3.mp4 [9cc87f8ce7e2fe21] 58,107,144 65694021
35. 8.4 Data analysis pandas Part 4.mp4 [4acf3771861ab933] 30,129,732 C0A68BB7
36. 8.5 Data Analysis Pandas Part 5.mp4 [51dbd6c8e3ef5e28] 87,948,909 77859E81
37. 8.6 Data Analysis Pandas Part 6.mp4 [117672894663109a] 92,547,774 18B0E900
38. 8.7 Data Analysis Pandas Part 7.mp4 [9cc589157e872b9] 49,719,111 1CFDBB73
39. 9.1 Data Visualization Matplotlib Part 1.mp4 [b4e394c338163f12] 93,029,378 45A911F8
40. 9.2 Data Visualization Matplotlib Part 2.mp4 [98bc31df78808b1e] 107,793,639 5C7A44B7
41. 10.1 Data Visualization seaborn Part 1.mp4 [40f81b2b0bde04ad] 59,658,135 93F6305E
42. 10.2 Data Visualization seaborn Part 2.mp4 [6290c1fcddf6c038] 91,204,933 EBF9A39B
43. 11.1 Machine Learning part 1.mp4 [80389c6fed9a89f0] 105,289,288 3AB22238
44. 11.2 Machine Learning part 2.mp4 [770a54ae74c7248e] 61,741,248 C7BE9460
45. 1. Java introduction.mp4 [ed48e98c128eb049] 1,052,923,498 791B62EC
46. 2. Variables in Java.mp4 [61aa06b6d89289ec] 516,401,572 FCFDDC82
47. 3. Identifiers in Java.mp4 [dd29e832bd2942f3] 152,268,983 82103EEF
48. 4. Reserved Keywords in Java.mp4 [e683c2943f54087b] 192,789,530 F93E4137
49. 5. Literals in Java.mp4 [2097c59fb5fcc601] 586,738,751 9B2700DD
50. 6. Arrays in Java.mp4 [5fccf834c8186fe4] 1,425,171,829 116E7B63
51. 7. Strings in Java part 1.mp4 [3db3d42ef8335cb2] 657,832,747 724ABB15
52. 8. Strings in Java part 2.mp4 [5021da6f824a8b4b] 490,025,803 189252B4
53. 09. Operators in Java.mp4 [d9127727c2f88f03] 1,350,007,287 16942C0B
54. 10. Type Casting in Java.mp4 [6110cde8a20e56ed] 752,121,112 A6B8CFC8
55. 11. Control statement If else in Java.mp4 [9af5dc21a3954f1] 464,749,977 B0D83682
56. 12. Switch Statement in Java.mp4 [630bc56fe7bdfe89] 318,238,923 F1F0B908
57. 01. MachineLearning introduction.mp4 [50e9cc46603fd3ea] 65,000,092 CC397B6E
58. 02. Types of Machine Learning.mp4 [60b89e9fd643891a] 89,225,572 F569984C
59. 03. Unsupervised Learning.mp4 [25d207b30951e9a3] 75,090,252 9D87C0B6
60. 04. Supervised Learning.mp4 [b38b1b54438f62dd] 69,046,418 502D9404
61. 05. Case study.mp4 [f19deb08ef28dac1] 139,510,882 1610EEF4
62. 06. Bayes Theorem.mp4 [76348b100dd02147] 53,760,698 1937DBDA
63. 07. Support Vector Machine Algorithm.mp4 [9a0e0237e4d00603] 49,171,175 1A1092B7
64. 08. KNN Algorithm.mp4 [299bd8592c3e09de] 54,557,458 4861179F
65. 09. Decision Tree.mp4 [806695fc0552c45] 133,442,134 93EA452D
66. 10. Hierrarchical Clustering.mp4 [aa75ee36e0de5297] 106,884,564 9D994384
67. 11. K Means Algorithm.mp4 [6e16a55a118b6e30] 97,734,462 0E96C76C
68. Speech recognition course.mp4 [585b1e366e841571] 49,087,880 E82BBE40
69. Computer vision lecture 1.mp4 [6faf9192e2bab99a] 115,545,025 252F9D74
70. Computer vision lecture 2.mp4 [5e72f8ffb36afdce] 64,071,224 DAC717C4
71. Computer vision lecture 3.mp4 [ce100b512946a8b0] 45,759,048 CD98F698
72. Computer vision lecture 4.mp4 [fa5e377421347518] 80,294,335 AC613803
73. Computer vision lecture 5.mp4 [7b316d23f1e9870] 46,403,756 75123899
74. PBL1.mp4 [26c2143c39925fcb] 35,305,837 D3B8DB7A
75. PBL2.mp4 [aed841478f4f045a] 43,428,066 E769643C
76. PBL3.mp4 [c01e343c52903244] 50,691,115 DC154ED0
77. PBL4.mp4 [dbd52f9f595726cd] 94,328,117 4BE76CDA
78. PBL5.mp4 [45ff24bcf92a85fc] 70,963,045 F559221A
79. PBL6.mp4 [b7445f63eed6d0de] 110,822,701 91EE29CD
80. PBL7.mp4 [d976bc279e41b8f6] 161,416,006 8EE88A67
81. 1. Web development 1.mp4 [887fbeb87f800eb0] 149,150,084 007D4653
82. 2. Web development 2.mp4 [242ad25794eb47ac] 66,029,574 6A830BF9
83. 3. Web development 3.mp4 [6b1bf7b9c3f4c27b] 49,571,330 5210B387
84. 4. Web development 4.mp4 [381512ea53e53569] 47,300,814 FE90B8E8
85. 5. Web development 5.mp4 [51714091cc70a237] 66,134,653 D3CED5B0
86. 6. Web development 6.mp4 [5e3021fc3bac7bcd] 71,397,876 27E49572
87. 7. Web development 7.mp4 [9d85d49484c4da47] 48,657,587 FEDCBD0D
88. 8. Web development 8.mp4 [875ff0fad77fdd30] 81,368,735 58515814
89. 9. Web development 9.mp4 [40084a3b724367dd] 35,919,983 F6A0DD40
90. 10. Web development 10.mp4 [e046f114ae7d7f5e] 60,616,403 28FA4E2D
91. 11. Web development 11.mp4 [64c24338e803156a] 62,931,131 866AF06B
92. Web Development CSS 1.mp4 [18ff0ee724ef6e45] 58,331,029 E123C7F0
93. Web Development CSS 2.mp4 [53673ecb3a65e1c4] 99,340,196 83F5D42C
94. Web Development CSS 3.mp4 [3bb4ece575c218b8] 108,238,925 E6E8650D
95. Web Development CSS 4.mp4 [9e843282bdc50c71] 18,705,905 B3790BA5
96. Web Development CSS 5.mp4 [1aec32f1e3ff9cc4] 31,506,059 863BA1C2
97. Web Development CSS 6.mp4 [33a3c14446390ad5] 65,643,345 E939E7AA
98. Web Development CSS 7.mp4 [db661930237ae6a5] 133,673,143 BC78CE1F
99. Web Development CSS 8.mp4 [ca1c4b6b9cc761de] 157,374,578 E0E183F1
100. Web Development CSS 9.mp4 [fb2cc03985cb1530] 140,145,969 F5914CB3
101. Web Development CSS 10.mp4 [52e0296e39726a82] 89,682,978 B44F8D1C
102. Web Development CSS 11.mp4 [b6ede654887003e] 83,662,520 8B1A9920
103. JavaScript 1.mp4 [f6fe675140d540ba] 276,140,385 49905A7D
104. JavaScript2.mp4 [727f3129e9b350f5] 52,834,866 CBAB5BB4
105. JavaScript3.mp4 [5b358bc445cca1d4] 81,905,189 1B098536
106. JavaScript4.mp4 [235c2e794b1f46c2] 84,640,471 E1B5275B
107. JavaScript5.mp4 [d6ec67d79d2abda8] 82,062,987 2427ABFF
108. JavaScript6.mp4 [1c4f7c5d192e3109] 99,880,934 B4E478C3
109. JavaScript7.mp4 [b11a56509c84441c] 142,097,998 880FC7C8
110. JavaScript8.mp4 [533f1d986b90c6e6] 79,726,960 C77B899B
111. JavaScript9.mp4 [9f6675ead6f446c1] 75,746,550 1096C045
112. Revision1.mp4 [725f239f562bf2ed] 99,908,297 B3570DC3
113. Revision2.mp4 [9894aa41151d4c91] 142,160,022 06E3E4FB
1. 2.1 Variables in Python.mp4 [da2ec459adbf269b] 23,950,096 1F9AE4F1
2. 2.2 Data Types.mp4 [4d752dfa5d567c98] 18,892,315 10A7F2BD
3. 2.3 Lists in Python.mp4 [d10f128cf1cf25fb] 24,466,508 B6F56F8E
Total size: 14,925,659,015
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