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  • Anonymous
  • 2025-01-25 17:08:04
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ReScene version pyReScene Auto 0.7 iLEARN File size CRC
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205 BABE3E70
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Archived files
5. Introduction to Jupyter Part 2.mp4 [b20371bdae9446fd] 36,903,985 6FA62DAE
6. The Basics of Data.mp4 [c3c11c8759137e71] 130,364,622 A789E43F
7. The basics of statistics part 1.mp4 [bfad5802e57bbc4c] 115,359,667 A2FF0C81
8. The basics of statistics part 2.mp4 [6c3b1d198f4f260a] 202,296,646 CD1A6463
9. The basics of statistics part 3.mp4 [556fc784b3e98b16] 69,492,640 8C609D61
10. The basics of statistics part 4.mp4 [6e8a4fd5c43c7e5] 122,874,322 CF6E0921
11. The basics of statistics part 5.mp4 [6476e5cbb7209371] 120,424,951 721D1E90
12. The basics of statistics part 6.mp4 [69161431d3311428] 180,547,031 13A0CCE0
13. Introduction to Numpy.mp4 [d4402dd88ab8486f] 87,546,736 8A53AC14
14. Setting up NumPy.mp4 [1576ba60028479f7] 17,437,425 71C5C83E
15. Basic calculations Part 1.mp4 [d70197c41b13fe35] 27,676,161 1EBAF473
16. Basic calculations Part 2.mp4 [aadf1158ba704c73] 43,524,016 5B196A8F
17. Basic calculations Part 3.mp4 [c5347d756190795f] 48,623,259 47E88ED7
18. Basic calculations Part 4.mp4 [b724a2f5daa573af] 37,852,854 3A9ACD35
19. Basic calculations Part 5.mp4 [2eeede7d43cc6245] 19,635,321 F423D07F
20. The Basics of Pandas.mp4 [6976a6430233ba33] 93,333,024 AC38D966
21. Setting up Pandas.mp4 [2d0f53de87ecb8be] 12,484,734 968EAA74
22. Pandas operations part 1.mp4 [372993e958221a2e] 30,343,796 A9B81141
23. Pandas operations part 2.mp4 [c2c537a77c25bdbd] 20,861,896 09768FEB
24. Pandas operations part 3.mp4 [8350759d2459772e] 47,026,332 AF5088CA
25. Pandas operations part 4.mp4 [d5b231b9c5943f8f] 39,952,851 54075684
26. Pandas operations part 5.mp4 [e715757293564dfe] 36,029,148 7A329387
27. The Basics of SciPy.mp4 [b6a0ebed0af906a5] 65,834,963 437536A2
28. SciPy operations part 1.mp4 [c5835cee5ec96372] 36,985,432 390F2873
29. SciPy operations part 2.mp4 [ad7925bfbe22fc2e] 29,822,244 84060901
30. SciPy operations part 3.mp4 [190142201fc8f618] 29,177,680 7180B35D
31. SciPy operations part 4.mp4 [382dd63765f756e6] 20,862,121 E5502AF3
32. SciPy operations part 5.mp4 [fd3182f3b81c0a9] 31,807,265 DA44EC12
33. Introduction to Matplotlib.mp4 [eb0f0a85cfca1b7] 73,781,798 BD690382
34. Setting up MatPlotlib.mp4 [a940579d8dd47166] 7,960,502 48AFB961
35. Basics of matplotlib part 1.mp4 [5a28abf8a0411147] 64,585,785 DA346DAB
36. Basics of matplotlib part 2.mp4 [dd7d91d240c2e92b] 35,114,078 734F6EF9
37. Basics of matplotlib part 3.mp4 [c9184404ba778dcc] 43,523,048 1E2B0224
38. Basics of matplotlib part 4.mp4 [f38604fc8a90fa36] 32,475,954 5B1484A1
39. Basics of matplotlib part 5.mp4 [467d4838b812f42a] 26,137,803 2ADB9716
40. Introduction to Seaborn.mp4 [6e4bd4ed741fb459] 69,861,992 F2297BB5
41. Setting up seaborn.mp4 [ed95ae7580281bb0] 11,944,087 F840C391
42. Seaborn operations part 1.mp4 [bb4b12175a7a4b05] 56,298,624 7891A52C
43. Seaborn operations part 2.mp4 [2a3d0f4e357f08c3] 33,969,327 1DC17101
44. Seaborn operations part 3.mp4 [f1324f6e434f2dc8] 45,721,754 098FFEAF
45. Seaborn operations part 4.mp4 [259cfb53302498b7] 37,115,118 0021C62C
46. Introduction to machine learning.mp4 [27925ba548d7dcf0] 138,401,222 4E4B9DFB
47. Presentation of Different algorithms.mp4 [ec3022db76b7d686] 255,045,681 E7D3E422
48. Machine learning algorithms part 1.mp4 [ff8a4de44ed0c1bc] 35,885,885 94564144
49. Machine learning algorithms part 2.mp4 [9acf4ab20f0d62e2] 170,406,065 2AFA5EDE
50. Machine learning algorithms part 3.mp4 [cd10084cd57ffa99] 66,590,105 EA96A055
51. Conclusion.mp4 [94db59f9ddf00fe7] 29,490,987 6F2B6E61
1. Introduction.mp4 [c4bd910a86ee989d] 106,570,802 EBAB1E84
2. What is Data Science.mp4 [c948008c82d6e0c5] 275,658,754 4378BB85
3. Installation of Anaconda and Jupyter.mp4 [42ed728e52ae307f] 27,919,670 001B4427
4. Introduction to Jupyter Part 1.mp4 [19323f49b30a81b7] 32,238,917 CB58BD0C

Total size: 3,431,779,080
RAR Recovery
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