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RAR-files |
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| Total size: |
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|
| Archived
files |
|
11. Shape and Reshape.mp4
[8e4b7e369a463eb5]
|
52,492,400 |
6310F0B6 |
|
12. Indexing.mp4
[9cae434affd67f74]
|
37,545,114 |
C2CA6E6E |
|
13. Iterating.mp4
[4127d67d918fb391]
|
27,038,383 |
F29DF47B |
|
14. Slicing.mp4
[b9f8e511483a5cb6]
|
45,256,141 |
E0DD123B |
|
15. Searching and Sorting.mp4
[2edd6885ea396127]
|
34,228,219 |
EDED166B |
|
16. Pandas Introduction and Installation.mp4
[c82fa31afd4ab567]
|
27,372,216 |
D9783FB9 |
|
17. Series.mp4
[2d2a6809602df5b9]
|
18,830,967 |
CC17550A |
|
18. DataFrame.mp4
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|
27,819,537 |
D7CBC459 |
|
19. Read_CSV.mp4
[8dbecd628c37051f]
|
19,622,776 |
3CE4304C |
|
20. Analyze Pandas DataFrames.mp4
[fc677988c8278989]
|
50,774,411 |
664B9C1C |
|
21. Introduction to Matplotlib.mp4
[b76d9342396320a4]
|
30,934,041 |
55982E85 |
|
22. Type of Plots in Matplotlib.mp4
[e2065d936cdb9c8f]
|
49,459,466 |
9E57A189 |
|
23. Seaborn.mp4
[255219f1f377c40b]
|
67,023,204 |
82D35FB1 |
|
24. Handling Missing Values.mp4
[6c3910022e98e61b]
|
67,679,168 |
502B909A |
|
25. Feature Encoding.mp4
[b48b1d8292b7f085]
|
70,983,409 |
413AB4F0 |
|
26. Feature Scaling.mp4
[425da15fc5e1dda9]
|
59,647,625 |
C135E431 |
|
27. Introduction to Machine Learning.mp4
[b77e425f657708e3]
|
38,457,741 |
781609E8 |
|
28. Supervised Machine Learning.mp4
[643c7285a9ca7adc]
|
28,728,889 |
62C82F0B |
|
29. Unsupervised Machine Learning.mp4
[16bb8c2443f934bc]
|
23,634,510 |
30DE57AC |
|
30. Train Test Split.mp4
[46a4b9cfd735a087]
|
15,299,395 |
0BE065AA |
|
31. Regression Analysis.mp4
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|
58,115,593 |
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|
32. Linear Regression.mp4
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|
54,762,954 |
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|
33. Logistic Regression.mp4
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|
78,338,983 |
04C5B0CC |
|
34. KNN.mp4
[b4772b5447196e90]
|
82,849,607 |
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|
35. SVM.mp4
[6627985efa202f9a]
|
66,860,896 |
CBD9C4DB |
|
36. Decision Tree.mp4
[aa5b099750f78eb1]
|
77,346,069 |
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|
37. Random Forest.mp4
[40d2cf308de28b2f]
|
50,691,483 |
FD4D0C4D |
|
38. K Means Clustering.mp4
[a68d60d0e6076cfd]
|
69,227,263 |
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|
39. Grid Search CV.mp4
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|
77,626,351 |
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|
40. Machine Learning Pipeline.mp4
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|
59,567,051 |
96B0D204 |
|
41. Car Price Prediction.mp4
[41eceb532281538]
|
149,881,668 |
FED7105E |
|
42. Customer Segmentation.mp4
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|
125,728,692 |
91BFB124 |
|
43. Wine Quality Prediction.mp4
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|
100,100,215 |
1611B9FB |
|
1. Course Introduction and Key Learning Outcomes.mp4
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|
9,713,398 |
329D1505 |
|
2. ChatGPT Introduction.mp4
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|
27,651,417 |
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|
3. ChatGPT Practical.mp4
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|
18,836,617 |
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|
4. Data Types and Variables.mp4
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|
40,074,153 |
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|
5. User Input.mp4
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|
13,098,327 |
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|
6. Lists.mp4
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|
38,193,687 |
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|
7. Conditional Statements.mp4
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|
20,665,027 |
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|
8. Loops.mp4
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|
29,107,489 |
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|
9. Introduction and Installation.mp4
[1106c8cdfb1ae62d]
|
37,710,120 |
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|
10. Create a Numpy Array.mp4
[340d8babfc5fa18d]
|
55,566,792 |
0AA3F462 |
|
| Total size: |
2,134,541,464 |
|
|
