Do upload dupes. It helps us clean and complete our database.
  • U: Skalman
  • D: 2022-11-26 19:07:26
  • C: Unknown
This file is unconfirmed

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ReScene version pyReScene Auto 0.7 iLEARN File size CRC
Download
12,904
Stored files
204 DDCB47EE
1,344 AE75A75B
RAR-files
ilearn-ltcip3pbta.rar 50,000,000 8F800BA3
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Total size: 2,088,695,752
Archived files
2. Installing Python on Windows.mp4 [3e167fe13ceff034] 66,694,635 5297310F
3. Statements.mp4 [4fb0f17ec3477e29] 37,709,904 0A9E7D94
4. Variables.mp4 [5860d3f1107b9ba0] 30,699,122 63A4CB28
5. The Input Function.mp4 [bcecb1513af40559] 44,376,295 D0DD7C3E
6. Exercise - Km to Miles Converter.mp4 [61b39977e062fc09] 21,022,695 2BA3D08F
7. Data Types Strings.mp4 [9017e1c1b331ba43] 57,144,764 EDD609A9
8. Exercise - Strings.mp4 [4483d3e2845e0c7f] 29,355,275 C3409E28
9. Data Types Numbers.mp4 [e44179000d35c783] 44,023,942 6DE4E006
10. Exercise - Numbers.mp4 [b338047f43ffa979] 27,558,540 E6BB6465
11. Data Types Lists and Tuples.mp4 [bf277194136fe09] 47,353,983 3927D4D6
12. Exercise - Lists and Tuples.mp4 [61296c50fa62e10b] 25,105,870 4E71F6EC
13. Data Types Dictionaries.mp4 [95d866aa95c0a7aa] 48,068,955 3852297D
14. Exercise - Dictionaries.mp4 [56e1456bc423cd1] 26,727,857 D58D6F39
15. Data Types Booleans.mp4 [8651720355b7e896] 59,297,117 CD17199C
16. Exercise - Booleans.mp4 [c05dc0a61a67b2ac] 15,245,647 4CAC0A92
17. Conditionals (if, elif, else).mp4 [9e2008190327be4d] 60,004,828 93B7229C
18. AND OR operators.mp4 [cf8706b396c61e9d] 37,808,462 8E3A0F0E
19. Exercise - Conditionals.mp4 [8c92e079a48d7ca7] 27,356,752 2AAAF9FA
20. While Loops.mp4 [5cf7b9099a8e4283] 41,015,073 E2E0AEBC
21. For Loops.mp4 [547ff7efbf5b7c27] 46,912,513 DEAF41BA
22. Exercise - Loops.mp4 [944db84fc94e2033] 42,128,164 355B2195
23. Data Validation.mp4 [f5dacc452f4c21cc] 78,193,405 6083BABD
24. Error Handling.mp4 [1888181e549f334c] 18,986,242 C6BCB388
25. Exercise - Error Handling.mp4 [a520d9d763b2e8a1] 39,612,621 A6D3423A
26. Functions.mp4 [c79f08cea571a13d] 67,992,515 00B3C547
27. Time.mp4 [a51f055b9562689a] 52,074,240 4EB36F19
28. Matplotlib.mp4 [725a4f17863b3d7d] 57,029,279 5CCBAD26
29. Exercise - Time & Matplotlib.Pyplot.mp4 [9e8a4f4e0b23057c] 50,693,123 835E5523
30. Requests.mp4 [64b4a5f5b6377086] 38,162,934 F92B3D21
31. Sending HTTP Requests to APIs.mp4 [6a26beb1932ff258] 31,222,462 22E9577F
32. Working With JSON.mp4 [216296b9980c2ee0] 50,980,117 87A2FE1F
33. Exercise - Requests & Json (Part 1).mp4 [22124c34d35436b6] 105,820,170 C9B04017
34. Exercise - Requests & Json (Part 2).mp4 [15c2be08848c3b0b] 136,927,708 AC467E1E
35. File Handling Basics - Create, Read, Write & Append.mp4 [ca1b003216326756] 45,026,655 DD227863
36. Reading Excel Sheets.mp4 [10b95e55a2836f1c] 72,111,123 3FDF3016
37. Introduction to Machine Learning.mp4 [1630165e748060a8] 36,563,734 E841E508
38. The Iris Dataset.mp4 [86e79b9a5ff5b5e6] 56,664,260 86909FD2
39. Applying the KNN Model.mp4 [17646d1dcb6fef3f] 43,933,775 14E132CB
40. Splitting Data Intro Train and Test Groups.mp4 [afc42e55b39b9540] 37,084,967 72D4D24E
41. Exercise KNN - Picking the Best Value Of K.mp4 [3ebb30c1ec0f1085] 32,834,352 1B554170
42. The Logistic Regression Model.mp4 [326ca269cd26d227] 14,105,658 C1F2FE5E
43. Applying the Logistic Regression Model.mp4 [de9143b0183ad803] 29,870,981 354BD468
44. What's next in Machine Learning.mp4 [882909e4767acbb] 53,447,228 105E0DF5
45. Project Overview.mp4 [d5e313b7cf917428] 42,570,831 D308EB5F
1. Installing Python on Mac.mp4 [e9d0a16b20d19850] 61,169,454 E731DEA0

Total size: 2,088,688,227
RAR Recovery
Not Present
Labels UNKNOWN