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

  • 收录时间:2020-01-05 15:41:45
  • 文件大小:13GB
  • 下载次数:68
  • 最近下载:2021-01-08 20:37:27
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文件列表

  1. 48 - 9.2 Learn SciPy.mp4 665MB
  2. 77 - 14.4 Use function-based concurrency.mp4 608MB
  3. 08 - 2.2 Manage Colab documents.mp4 452MB
  4. 84 - 16.1 PyTest.mp4 373MB
  5. 24 - 5.1 Use lists and tuples.mp4 370MB
  6. 85 - 16.2 Visual Studio Code.mp4 365MB
  7. 79 - 15.1 Share with Github.mp4 358MB
  8. 50 - 9.4 Learn TensorFlow.mp4 342MB
  9. 75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 337MB
  10. 49 - 9.3 Learn Pandas.mp4 336MB
  11. 07 - 2.1 Create your first Colab document.mp4 329MB
  12. 45 - 8.5 Advanced Use of Functions.mp4 319MB
  13. 72 - 13.3 Sort in Pandas.mp4 302MB
  14. 47 - 9.1 Learn NumPy.mp4 288MB
  15. 67 - 12.2 Use regular expressions.mp4 285MB
  16. 52 - 9.6 Use Plotly for interactive plots.mp4 262MB
  17. 51 - 9.5 Use Seaborn for 2D plots.mp4 262MB
  18. 10 - 2.4 Understand compatibility with Jupyter.mp4 258MB
  19. 53 - 9.7 Specialized Visualization Libraries.mp4 242MB
  20. 27 - 5.4 Work with the numpy array.mp4 234MB
  21. 71 - 13.2 Create custom sorting functions.mp4 229MB
  22. 74 - 14.1 Read and write files - file, pickle, CSV, JSON.mp4 215MB
  23. 25 - 5.2 Explore dictionaries.mp4 213MB
  24. 42 - 8.2 Learn to use decorators.mp4 211MB
  25. 80 - 15.2 Create Kaggle Kernels.mp4 207MB
  26. 41 - 8.1 Write and use functions.mp4 206MB
  27. 17 - 3.6 Use classes and objects with dot notation.mp4 194MB
  28. 70 - 13.1 Sort in Python.mp4 187MB
  29. 13 - 3.2 Use simple expressions and variables.mp4 174MB
  30. 39 - 7.4 Use conditionals.mp4 168MB
  31. 16 - 3.5 Perform basic math operations.mp4 167MB
  32. 09 - 2.3 Use magic functions.mp4 156MB
  33. 56 - 10.1 Understand functional programming.mp4 151MB
  34. 87 - 16.4 Ludwig (Open Source AutoML).mp4 146MB
  35. 63 - 11.2 Design generator pipelines.mp4 141MB
  36. 86 - 16.3 Vim.mp4 137MB
  37. 21 - 4.3 Manipulate strings - membership, slicing, and concatenation.mp4 137MB
  38. 43 - 8.3 Compose closure functions.mp4 133MB
  39. 19 - 4.1 Use string methods.mp4 132MB
  40. 81 - 15.3 Collaborate with Colab.mp4 125MB
  41. 54 - 9.8 Learn Natural Language Processing Libraries.mp4 125MB
  42. 28 - 5.5 Use the Pandas DataFrame.mp4 117MB
  43. 12 - 3.1 Write procedural code.mp4 113MB
  44. 38 - 7.3 Learn to handle exceptions.mp4 112MB
  45. 76 - 14.3 Read and write using web resources (requests, boto, github).mp4 111MB
  46. 44 - 8.4 Use lambdas.mp4 106MB
  47. 32 - 6.2 Convert dicts to Pandas Dataframe.mp4 105MB
  48. 88 - 16.5 Sklearn Algorithm Cheatsheet.mp4 104MB
  49. 82 - 15.4 Post public graphs with Plotly.mp4 103MB
  50. 34 - 6.4 Convert between hexadecimal, binary, and floats.mp4 101MB
  51. 20 - 4.2 Format strings.mp4 99MB
  52. 59 - 10.4 Use list comprehensions.mp4 98MB
  53. 66 - 12.1 Perform simple pattern matching.mp4 97MB
  54. 58 - 10.3 Use map_reduce_filter.mp4 95MB
  55. 68 - 12.3 Learn text processing techniques - Beautiful Soup.mp4 88MB
  56. 26 - 5.3 Dive into sets.mp4 83MB
  57. 03 - 1.1 History of Python in data science.mp4 78MB
  58. 05 - 1.3 Future trends of Python in AI, ML, and data science.mp4 78MB
  59. 01 - Python for Data Science Complete Video Course Video Training - Introduction.mp4 77MB
  60. 31 - 6.1 Convert lists to dicts and back.mp4 74MB
  61. 22 - 4.4 Learn to use unicode.mp4 74MB
  62. 29 - 5.6 Use the Pandas Series.mp4 72MB
  63. 15 - 3.4 Learn to Print.mp4 71MB
  64. 62 - 11.1 Use generators.mp4 69MB
  65. 14 - 3.3 Work with the built-in types.mp4 67MB
  66. 64 - 11.3 Implement lazy evaluation functions.mp4 59MB
  67. 37 - 7.2 Repeat with while loops.mp4 50MB
  68. 89 - 16.6 Recommendations.mp4 48MB
  69. 57 - 10.2 Apply functions to data science workflows.mp4 47MB
  70. 36 - 7.1 Learn to loop with for loops.mp4 45MB
  71. 04 - 1.2 Overview of Python data science libraries.mp4 44MB
  72. 33 - 6.3 Convert characters to integers and back.mp4 36MB
  73. 46 - Learning objectives.mp4 34MB
  74. 11 - Learning objectives.mp4 29MB
  75. 83 - Learning Objectives.mp4 29MB
  76. 55 - Learning objectives.mp4 28MB
  77. 06 - Learning objectives.mp4 25MB
  78. 35 - Learning objectives.mp4 25MB
  79. 30 - Learning objectives.mp4 24MB
  80. 40 - Learning objectives.mp4 22MB
  81. 23 - Learning objectives.mp4 22MB
  82. 73 - Learning objectives.mp4 22MB
  83. 65 - Learning objectives.mp4 21MB
  84. 78 - Learning objectives.mp4 21MB
  85. 69 - Learning objectives.mp4 18MB
  86. 61 - Learning objectives.mp4 18MB
  87. 18 - Learning objectives.mp4 17MB
  88. 60 - 10.5 Use dictionary comprehensions.mp4 15MB
  89. 02 - Learning objectives.mp4 11MB
  90. [DesireCourse.Net].url 51B
  91. [CourseClub.Me].url 48B