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[] [Pluralsight] Preparing Data for Feature Engineering and Machine Learning [FCO]

  • 收录时间:2021-07-06 21:30:40
  • 文件大小:468MB
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  • 最近下载:2021-07-06 21:30:39
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文件列表

  1. 06 - Implementing Feature Extraction/46 - Working with Geospatial Features.mp4 53MB
  2. Exercise Files.zip 30MB
  3. 03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.mp4 16MB
  4. 06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.mp4 15MB
  5. 06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.mp4 15MB
  6. 04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.mp4 14MB
  7. 03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.mp4 14MB
  8. 06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.mp4 13MB
  9. 04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.mp4 13MB
  10. 03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.mp4 13MB
  11. 04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.mp4 13MB
  12. 06 - Implementing Feature Extraction/41 - Loading and Transforming Images.mp4 12MB
  13. 06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.mp4 12MB
  14. 04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.mp4 11MB
  15. 06 - Implementing Feature Extraction/45 - Extracting Features from Dates.mp4 10MB
  16. 02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.mp4 10MB
  17. 04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.mp4 10MB
  18. 01 - Course Overview/01 - Course Overview.mp4 10MB
  19. 02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.mp4 9MB
  20. 06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.mp4 9MB
  21. 03 - Preparing Data for Machine Learning/19 - Perform Simple and Multiple Linear Regression.mp4 9MB
  22. 03 - Preparing Data for Machine Learning/15 - Dealing with Outliers.mp4 8MB
  23. 04 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.mp4 8MB
  24. 06 - Implementing Feature Extraction/42 - Extracting Features from Images.mp4 8MB
  25. 05 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.mp4 8MB
  26. 02 - Understanding the Role of Features in Machine Learning/09 - Training, Validation, and Test Data.mp4 8MB
  27. 05 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Images.mp4 8MB
  28. 06 - Implementing Feature Extraction/47 - Summary and Further Study.mp4 7MB
  29. 02 - Understanding the Role of Features in Machine Learning/10 - K-fold Cross Validation.mp4 7MB
  30. 04 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.mp4 7MB
  31. 04 - Understanding and Implementing Feature Selection/22 - Types of Data.mp4 7MB
  32. 05 - Exploring Feature Extraction Techniques/33 - Representing Images as Matrices and Image Preprocessing Techniques.mp4 7MB
  33. 03 - Preparing Data for Machine Learning/13 - Problems with Data.mp4 7MB
  34. 03 - Preparing Data for Machine Learning/12 - Module Overview.mp4 6MB
  35. 03 - Preparing Data for Machine Learning/14 - Dealing with Missing Values.mp4 6MB
  36. 02 - Understanding the Role of Features in Machine Learning/05 - The Machine Learning Workflow.mp4 6MB
  37. 04 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.mp4 6MB
  38. 02 - Understanding the Role of Features in Machine Learning/08 - Feature Combination and Dimensionality Reduction.mp4 6MB
  39. 02 - Understanding the Role of Features in Machine Learning/11 - Module Summary.mp4 5MB
  40. 06 - Implementing Feature Extraction/37 - Module Overview.mp4 5MB
  41. 02 - Understanding the Role of Features in Machine Learning/02 - Module Overview.mp4 5MB
  42. 02 - Understanding the Role of Features in Machine Learning/03 - Prerequisites and Course Outline.mp4 5MB
  43. 03 - Preparing Data for Machine Learning/20 - Module Summary.mp4 5MB
  44. 02 - Understanding the Role of Features in Machine Learning/06 - Components of Feature Engineering.mp4 4MB
  45. 04 - Understanding and Implementing Feature Selection/21 - Module Overview.mp4 2MB
  46. 05 - Exploring Feature Extraction Techniques/32 - Module Overview.mp4 2MB
  47. 04 - Understanding and Implementing Feature Selection/31 - Module Summary.mp4 2MB
  48. 05 - Exploring Feature Extraction Techniques/36 - Module Summary.mp4 2MB
  49. 03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.en.srt 15KB
  50. 03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.en.srt 14KB
  51. 02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.en.srt 14KB
  52. 03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.en.srt 13KB
  53. 06 - Implementing Feature Extraction/46 - Working with Geospatial Features.en.srt 12KB
  54. 02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.en.srt 12KB
  55. 06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.en.srt 12KB
  56. 04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.en.srt 12KB
  57. 04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.en.srt 12KB
  58. 05 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.en.srt 11KB
  59. 04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.en.srt 11KB
  60. 04 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.en.srt 11KB
  61. 03 - Preparing Data for Machine Learning/15 - Dealing with Outliers.en.srt 11KB
  62. 02 - Understanding the Role of Features in Machine Learning/09 - Training, Validation, and Test Data.en.srt 11KB
  63. 05 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Images.en.srt 10KB
  64. 04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.en.srt 10KB
  65. 04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.en.srt 10KB
  66. 06 - Implementing Feature Extraction/41 - Loading and Transforming Images.en.srt 9KB
  67. 06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.en.srt 9KB
  68. 06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.en.srt 9KB
  69. 03 - Preparing Data for Machine Learning/14 - Dealing with Missing Values.en.srt 9KB
  70. 05 - Exploring Feature Extraction Techniques/33 - Representing Images as Matrices and Image Preprocessing Techniques.en.srt 9KB
  71. 04 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.en.srt 9KB
  72. 03 - Preparing Data for Machine Learning/19 - Perform Simple and Multiple Linear Regression.en.srt 9KB
  73. 06 - Implementing Feature Extraction/45 - Extracting Features from Dates.en.srt 8KB
  74. 04 - Understanding and Implementing Feature Selection/22 - Types of Data.en.srt 8KB
  75. 02 - Understanding the Role of Features in Machine Learning/05 - The Machine Learning Workflow.en.srt 8KB
  76. 03 - Preparing Data for Machine Learning/13 - Problems with Data.en.srt 8KB
  77. 02 - Understanding the Role of Features in Machine Learning/08 - Feature Combination and Dimensionality Reduction.en.srt 8KB
  78. 02 - Understanding the Role of Features in Machine Learning/10 - K-fold Cross Validation.en.srt 8KB
  79. 06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.en.srt 7KB
  80. 06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.en.srt 7KB
  81. 06 - Implementing Feature Extraction/42 - Extracting Features from Images.en.srt 6KB
  82. 04 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.en.srt 5KB
  83. 02 - Understanding the Role of Features in Machine Learning/06 - Components of Feature Engineering.en.srt 5KB
  84. 01 - Course Overview/01 - Course Overview.en.srt 3KB
  85. 04 - Understanding and Implementing Feature Selection/21 - Module Overview.en.srt 3KB
  86. 04 - Understanding and Implementing Feature Selection/31 - Module Summary.en.srt 3KB
  87. 06 - Implementing Feature Extraction/47 - Summary and Further Study.en.srt 3KB
  88. 03 - Preparing Data for Machine Learning/12 - Module Overview.en.srt 3KB
  89. 02 - Understanding the Role of Features in Machine Learning/03 - Prerequisites and Course Outline.en.srt 3KB
  90. 05 - Exploring Feature Extraction Techniques/32 - Module Overview.en.srt 3KB
  91. 02 - Understanding the Role of Features in Machine Learning/11 - Module Summary.en.srt 2KB
  92. 05 - Exploring Feature Extraction Techniques/36 - Module Summary.en.srt 2KB
  93. 02 - Understanding the Role of Features in Machine Learning/02 - Module Overview.en.srt 2KB
  94. 03 - Preparing Data for Machine Learning/20 - Module Summary.en.srt 2KB
  95. 06 - Implementing Feature Extraction/37 - Module Overview.en.srt 2KB
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