[FreeCoursesOnline.Me] O'REILLY - Python for Data Science Complete Video Course Video Training


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File Size:   13.44 GB
Creat Time:   2024-05-26
Active Degree:   89
Last Active:   2024-11-16
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Tags:    FreeCoursesOnline Me O REILLY - Python for Data Science Complete Video Course Video Training
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File List

  1. 48 - 9.2 Learn SciPy.mp4 680.95 MB
  2. 77 - 14.4 Use function-based concurrency.mp4 622.74 MB
  3. 08 - 2.2 Manage Colab documents.mp4 462.64 MB
  4. 84 - 16.1 PyTest.mp4 381.87 MB
  5. 24 - 5.1 Use lists and tuples.mp4 378.84 MB
  6. 85 - 16.2 Visual Studio Code.mp4 373.39 MB
  7. 79 - 15.1 Share with Github.mp4 366.69 MB
  8. 50 - 9.4 Learn TensorFlow.mp4 350.10 MB
  9. 75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 344.58 MB
  10. 49 - 9.3 Learn Pandas.mp4 343.66 MB
  11. 07 - 2.1 Create your first Colab document.mp4 336.71 MB
  12. 45 - 8.5 Advanced Use of Functions.mp4 326.67 MB
  13. 72 - 13.3 Sort in Pandas.mp4 309.20 MB
  14. 47 - 9.1 Learn NumPy.mp4 294.86 MB
  15. 67 - 12.2 Use regular expressions.mp4 291.42 MB
  16. 52 - 9.6 Use Plotly for interactive plots.mp4 268.35 MB
  17. 51 - 9.5 Use Seaborn for 2D plots.mp4 267.93 MB
  18. 10 - 2.4 Understand compatibility with Jupyter.mp4 264.25 MB
  19. 53 - 9.7 Specialized Visualization Libraries.mp4 247.49 MB
  20. 27 - 5.4 Work with the numpy array.mp4 240.07 MB
  21. 71 - 13.2 Create custom sorting functions.mp4 234.83 MB
  22. 74 - 14.1 Read and write files - file, pickle, CSV, JSON.mp4 219.86 MB
  23. 25 - 5.2 Explore dictionaries.mp4 218.45 MB
  24. 42 - 8.2 Learn to use decorators.mp4 216.00 MB
  25. 80 - 15.2 Create Kaggle Kernels.mp4 212.46 MB
  26. 41 - 8.1 Write and use functions.mp4 211.42 MB
  27. 17 - 3.6 Use classes and objects with dot notation.mp4 199.13 MB
  28. 70 - 13.1 Sort in Python.mp4 191.14 MB
  29. 13 - 3.2 Use simple expressions and variables.mp4 178.11 MB
  30. 39 - 7.4 Use conditionals.mp4 172.28 MB
  31. 16 - 3.5 Perform basic math operations.mp4 171.12 MB
  32. 09 - 2.3 Use magic functions.mp4 160.01 MB
  33. 56 - 10.1 Understand functional programming.mp4 154.76 MB
  34. 87 - 16.4 Ludwig (Open Source AutoML).mp4 150.00 MB
  35. 63 - 11.2 Design generator pipelines.mp4 144.64 MB
  36. 86 - 16.3 Vim.mp4 140.09 MB
  37. 21 - 4.3 Manipulate strings - membership, slicing, and concatenation.mp4 140.03 MB
  38. 43 - 8.3 Compose closure functions.mp4 136.05 MB
  39. 19 - 4.1 Use string methods.mp4 135.10 MB
  40. 81 - 15.3 Collaborate with Colab.mp4 128.19 MB
  41. 54 - 9.8 Learn Natural Language Processing Libraries.mp4 127.95 MB
  42. 28 - 5.5 Use the Pandas DataFrame.mp4 119.58 MB
  43. 12 - 3.1 Write procedural code.mp4 115.57 MB
  44. 38 - 7.3 Learn to handle exceptions.mp4 114.63 MB
  45. 76 - 14.3 Read and write using web resources (requests, boto, github).mp4 113.52 MB
  46. 44 - 8.4 Use lambdas.mp4 108.78 MB
  47. 32 - 6.2 Convert dicts to Pandas Dataframe.mp4 107.08 MB
  48. 88 - 16.5 Sklearn Algorithm Cheatsheet.mp4 106.55 MB
  49. 82 - 15.4 Post public graphs with Plotly.mp4 105.98 MB
  50. 34 - 6.4 Convert between hexadecimal, binary, and floats.mp4 103.79 MB

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