RAR-files |
ilearn-dswpbte.rar |
350,000,000 |
13FD7311 |
ilearn-dswpbte.r00 |
350,000,000 |
021F4630 |
ilearn-dswpbte.r01 |
350,000,000 |
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ilearn-dswpbte.r02 |
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ilearn-dswpbte.r03 |
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ilearn-dswpbte.r04 |
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ilearn-dswpbte.r05 |
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ilearn-dswpbte.r06 |
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ilearn-dswpbte.r07 |
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ilearn-dswpbte.r08 |
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ilearn-dswpbte.r09 |
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ilearn-dswpbte.r10 |
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ilearn-dswpbte.r11 |
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ilearn-dswpbte.r12 |
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ilearn-dswpbte.r13 |
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ilearn-dswpbte.r14 |
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ilearn-dswpbte.r15 |
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ilearn-dswpbte.r16 |
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ilearn-dswpbte.r17 |
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ilearn-dswpbte.r18 |
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ilearn-dswpbte.r19 |
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ilearn-dswpbte.r20 |
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ilearn-dswpbte.r21 |
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ilearn-dswpbte.r22 |
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ilearn-dswpbte.r23 |
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ilearn-dswpbte.r24 |
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ilearn-dswpbte.r25 |
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ilearn-dswpbte.r26 |
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ilearn-dswpbte.r27 |
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ilearn-dswpbte.r28 |
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ilearn-dswpbte.r29 |
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ilearn-dswpbte.r30 |
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ilearn-dswpbte.r31 |
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ilearn-dswpbte.r32 |
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ilearn-dswpbte.r33 |
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ilearn-dswpbte.r34 |
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ilearn-dswpbte.r35 |
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ilearn-dswpbte.r36 |
350,000,000 |
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ilearn-dswpbte.r37 |
350,000,000 |
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ilearn-dswpbte.r38 |
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7028AE81 |
ilearn-dswpbte.r39 |
350,000,000 |
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ilearn-dswpbte.r40 |
350,000,000 |
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ilearn-dswpbte.r41 |
350,000,000 |
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ilearn-dswpbte.r42 |
350,000,000 |
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ilearn-dswpbte.r43 |
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ilearn-dswpbte.r44 |
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ilearn-dswpbte.r45 |
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ilearn-dswpbte.r46 |
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ilearn-dswpbte.r47 |
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ilearn-dswpbte.r48 |
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ilearn-dswpbte.r49 |
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ilearn-dswpbte.r50 |
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ilearn-dswpbte.r51 |
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ilearn-dswpbte.r52 |
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ilearn-dswpbte.r53 |
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ilearn-dswpbte.r54 |
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ilearn-dswpbte.r55 |
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ilearn-dswpbte.r56 |
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ilearn-dswpbte.r57 |
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278100CB |
ilearn-dswpbte.r58 |
350,000,000 |
9743E9C8 |
ilearn-dswpbte.r59 |
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ilearn-dswpbte.r60 |
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Total size: |
21,572,863,213 |
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Archived
files |
5. Input-Output, Keywords, Identifiers - part 1.mp4
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|
402,115,107 |
2052B9F5 |
6. Input-Output, Keywords, Identifiers - part 2.mp4
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|
379,852,726 |
540F6FEA |
7. Operators and Types of Operators - part 1.mp4
[96799f18103b1402]
|
189,614,973 |
D0816B9F |
8. Operators and Types of Operators - part 2.mp4
[97817c4498568bf2]
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217,715,594 |
CAD7F633 |
9. Decision-Making.mp4
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|
279,957,974 |
1C652B78 |
10. Loops in Python - part 1.mp4
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|
190,324,911 |
3CDE33E0 |
11. Loops in Python - part 2.mp4
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|
219,099,880 |
6A4BFDD9 |
12. Loops in Python - part 3.mp4
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|
119,130,291 |
D4518495 |
13. List in Python - part 1.mp4
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|
328,511,474 |
DDC07E01 |
14. List in Python - part 2.mp4
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|
316,243,334 |
85851AA4 |
15. Tuples in Dictionary - part 1.mp4
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|
464,105,835 |
50F1DC37 |
16. Tuples in Dictionary - part 2.mp4
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449,938,375 |
B2C7A771 |
17. Functions and Modules - part 1.mp4
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|
303,699,157 |
EFE6F2FB |
18. Functions and Modules - part 2.mp4
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292,133,048 |
1EA5F274 |
19. Functions and Modules - part 3.mp4
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|
402,127,123 |
CEE8D991 |
20. Working with Files - part 1.mp4
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|
571,286,989 |
C2936F32 |
21. Working with Files - part 2.mp4
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|
215,169,073 |
813FC2A3 |
22. Regular Expression.mp4
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|
577,438,850 |
28CECABB |
23. Introduction to Data Science Libraries.mp4
[82152fc7ccbf2432]
|
344,189,400 |
90E4AE9E |
24. Components of Python Ecosystem.mp4
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|
441,075,120 |
7E1A3A87 |
25. Analysing Data using Numpy and Pandas - part 1.mp4
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|
450,868,787 |
9CA6F669 |
26. Analysing Data using Numpy and Pandas - part 2.mp4
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|
346,404,870 |
F1D532A3 |
27. Analysing Data using Numpy and Pandas - part 3.mp4
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|
276,166,486 |
70FB4BC2 |
28. Analysing Data using Numpy and Pandas - part 4.mp4
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|
561,620,458 |
1D76AE05 |
29. Analysing Data using Numpy and Pandas - part 5.mp4
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|
210,607,578 |
4335036D |
30. Data Visualisation with Matplotlib - part 1.mp4
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|
288,821,470 |
2AB75E84 |
31. Data Visualisation with Matplotlib - part 2.mp4
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|
352,044,967 |
24D13F72 |
32. Data Visualisation with Matplotlib - part 3.mp4
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|
549,339,765 |
9C2CBD80 |
33. Three-Dimensional Plotting with Matplotlib.mp4
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|
586,596,484 |
59269714 |
34. Data Visualisation with Seaborn - part 1.mp4
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|
327,984,740 |
B7029824 |
35. Data Visualisation with Seaborn - part 2.mp4
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|
510,582,422 |
E372992F |
36. Introduction to Statistical Analysis.mp4
[f4aea2dafa30fbf1]
|
562,183,219 |
0E7A9123 |
37. Data Science Methodology - part 1.mp4
[1c7f3127cc734157]
|
423,052,290 |
A7CE35B8 |
38. Data Science Methodology - part 1 continued.mp4
[272fb1b15c0a2094]
|
411,679,334 |
5079D1B8 |
39. Data Science Methodology - part 2.mp4
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|
326,733,690 |
C5AD88C0 |
40. Introduction to Machine Learning and its Types.mp4
[230d463bac9a000d]
|
436,981,697 |
BBCDF985 |
41. Regression Analysis in Data Science - part 1.mp4
[b2560eb0e334ec99]
|
624,583,133 |
50D4941E |
42. Regression Analysis in Data Science - part 2.mp4
[65bf5c0cab159e4a]
|
465,149,674 |
A5A8FBD7 |
43. Regression Analysis in Data Science - part 3.mp4
[b790614dc11b047d]
|
319,728,222 |
68C91920 |
44. Classification in Data Science - part 1.mp4
[66e9924ad452a4cb]
|
583,222,694 |
E37BEEC1 |
45. Classification in Data Science - part 2.mp4
[b7e2ae672690f06e]
|
333,937,685 |
DC31F8C0 |
46. Classification in Data Science - part 3.mp4
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|
221,782,760 |
0BB229FC |
47. Clustering in Data Science - part 1.mp4
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|
465,897,892 |
69BDC4F4 |
48. Clustering in Data Science - part 2.mp4
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|
222,941,063 |
D97F7762 |
49. Clustering in Data Science - part 3.mp4
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|
316,978,924 |
EC7F9BE8 |
50. Association Rule Learning in Data Science - part 1.mp4
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|
463,414,134 |
154463FC |
51. Association Rule Learning in Data Science - part 2.mp4
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573,636,616 |
28C87DA2 |
52. Project on Loan Approval Prediction using Data Science - part 1.mp4
[fef2595a0243e962]
|
524,022,892 |
4EA13D41 |
53. Project on Loan Approval Prediction using Data Science - part 2.mp4
[91e0156b62635c30]
|
371,389,934 |
5D432CA5 |
54. Project on Loan Approval Prediction using Data Science - part 3.mp4
[1a7ea6e1d075536b]
|
435,137,931 |
49A1F542 |
55. Project on Loan Approval Prediction using Data Science - part 4.mp4
[77bfb46b363b4db8]
|
348,368,093 |
211F752C |
56. Project on Loan Approval Prediction using Data Science - part 5.mp4
[274f9f94741349a6]
|
553,919,871 |
4F47D9E3 |
1. Introduction to Data Science.mp4
[27e6021cb1a75102]
|
495,965,852 |
6FFF7BC1 |
2. Introduction to Python Programming.mp4
[43ba9eb87298df2b]
|
424,516,166 |
266E09F7 |
3. Variables and Data Types - part 1.mp4
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|
169,621,003 |
E6C9F0D6 |
4. Variables and Data Types - part 2.mp4
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|
333,238,883 |
8FD69321 |
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Total size: |
21,572,850,913 |
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