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

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  7. 01 - Course Overview/01 - Course Overview.en.srt 3.28KB
  8. 01 - Course Overview/01 - Course Overview.mp4 9.67MB
  9. 02 - Understanding the Role of Features in Machine Learning/02 - Module Overview.en.srt 2.24KB
  10. 02 - Understanding the Role of Features in Machine Learning/02 - Module Overview.mp4 5.29MB
  11. 02 - Understanding the Role of Features in Machine Learning/03 - Prerequisites and Course Outline.en.srt 2.60KB
  12. 02 - Understanding the Role of Features in Machine Learning/03 - Prerequisites and Course Outline.mp4 4.68MB
  13. 02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.en.srt 12.01KB
  14. 02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.mp4 9.15MB
  15. 02 - Understanding the Role of Features in Machine Learning/05 - The Machine Learning Workflow.en.srt 7.71KB
  16. 02 - Understanding the Role of Features in Machine Learning/05 - The Machine Learning Workflow.mp4 6.33MB
  17. 02 - Understanding the Role of Features in Machine Learning/06 - Components of Feature Engineering.en.srt 4.99KB
  18. 02 - Understanding the Role of Features in Machine Learning/06 - Components of Feature Engineering.mp4 3.57MB
  19. 02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.en.srt 13.58KB
  20. 02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.mp4 10.36MB
  21. 02 - Understanding the Role of Features in Machine Learning/08 - Feature Combination and Dimensionality Reduction.en.srt 7.57KB
  22. 02 - Understanding the Role of Features in Machine Learning/08 - Feature Combination and Dimensionality Reduction.mp4 5.78MB
  23. 02 - Understanding the Role of Features in Machine Learning/09 - Training, Validation, and Test Data.en.srt 10.52KB
  24. 02 - Understanding the Role of Features in Machine Learning/09 - Training, Validation, and Test Data.mp4 7.94MB
  25. 02 - Understanding the Role of Features in Machine Learning/10 - K-fold Cross Validation.en.srt 7.53KB
  26. 02 - Understanding the Role of Features in Machine Learning/10 - K-fold Cross Validation.mp4 6.90MB
  27. 02 - Understanding the Role of Features in Machine Learning/11 - Module Summary.en.srt 2.44KB
  28. 02 - Understanding the Role of Features in Machine Learning/11 - Module Summary.mp4 5.42MB
  29. 03 - Preparing Data for Machine Learning/12 - Module Overview.en.srt 3.06KB
  30. 03 - Preparing Data for Machine Learning/12 - Module Overview.mp4 6.40MB
  31. 03 - Preparing Data for Machine Learning/13 - Problems with Data.en.srt 7.62KB
  32. 03 - Preparing Data for Machine Learning/13 - Problems with Data.mp4 6.60MB
  33. 03 - Preparing Data for Machine Learning/14 - Dealing with Missing Values.en.srt 9.17KB
  34. 03 - Preparing Data for Machine Learning/14 - Dealing with Missing Values.mp4 6.39MB
  35. 03 - Preparing Data for Machine Learning/15 - Dealing with Outliers.en.srt 10.99KB
  36. 03 - Preparing Data for Machine Learning/15 - Dealing with Outliers.mp4 8.16MB
  37. 03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.en.srt 13.99KB
  38. 03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.mp4 13.89MB
  39. 03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.en.srt 13.16KB
  40. 03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.mp4 12.97MB
  41. 03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.en.srt 15.07KB
  42. 03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.mp4 16.31MB
  43. 03 - Preparing Data for Machine Learning/19 - Perform Simple and Multiple Linear Regression.en.srt 8.53KB
  44. 03 - Preparing Data for Machine Learning/19 - Perform Simple and Multiple Linear Regression.mp4 8.71MB
  45. 03 - Preparing Data for Machine Learning/20 - Module Summary.en.srt 2.21KB
  46. 03 - Preparing Data for Machine Learning/20 - Module Summary.mp4 4.62MB
  47. 04 - Understanding and Implementing Feature Selection/21 - Module Overview.en.srt 3.19KB
  48. 04 - Understanding and Implementing Feature Selection/21 - Module Overview.mp4 2.02MB
  49. 04 - Understanding and Implementing Feature Selection/22 - Types of Data.en.srt 8.18KB
  50. 04 - Understanding and Implementing Feature Selection/22 - Types of Data.mp4 6.66MB
  51. 04 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.en.srt 8.67KB
  52. 04 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.mp4 6.26MB
  53. 04 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.en.srt 11.17KB
  54. 04 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.mp4 8.08MB
  55. 04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.en.srt 9.82KB
  56. 04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.mp4 10.75MB
  57. 04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.en.srt 11.58KB
  58. 04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.mp4 14.42MB
  59. 04 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.en.srt 5.29KB
  60. 04 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.mp4 6.82MB
  61. 04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.en.srt 11.78KB
  62. 04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.mp4 13.32MB
  63. 04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.en.srt 11.24KB
  64. 04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.mp4 12.80MB
  65. 04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.en.srt 9.64KB
  66. 04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.mp4 10.19MB
  67. 04 - Understanding and Implementing Feature Selection/31 - Module Summary.en.srt 3.11KB
  68. 04 - Understanding and Implementing Feature Selection/31 - Module Summary.mp4 1.96MB
  69. 05 - Exploring Feature Extraction Techniques/32 - Module Overview.en.srt 2.51KB
  70. 05 - Exploring Feature Extraction Techniques/32 - Module Overview.mp4 2.02MB
  71. 05 - Exploring Feature Extraction Techniques/33 - Representing Images as Matrices and Image Preprocessing Techniques.en.srt 8.73KB
  72. 05 - Exploring Feature Extraction Techniques/33 - Representing Images as Matrices and Image Preprocessing Techniques.mp4 6.65MB
  73. 05 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Images.en.srt 9.93KB
  74. 05 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Images.mp4 7.71MB
  75. 05 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.en.srt 11.29KB
  76. 05 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.mp4 8.01MB
  77. 05 - Exploring Feature Extraction Techniques/36 - Module Summary.en.srt 2.37KB
  78. 05 - Exploring Feature Extraction Techniques/36 - Module Summary.mp4 1.69MB
  79. 06 - Implementing Feature Extraction/37 - Module Overview.en.srt 2.08KB
  80. 06 - Implementing Feature Extraction/37 - Module Overview.mp4 5.35MB
  81. 06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.en.srt 7.43KB
  82. 06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.mp4 8.82MB
  83. 06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.en.srt 9.48KB
  84. 06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.mp4 11.52MB
  85. 06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.en.srt 11.85KB
  86. 06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.mp4 13.47MB
  87. 06 - Implementing Feature Extraction/41 - Loading and Transforming Images.en.srt 9.50KB
  88. 06 - Implementing Feature Extraction/41 - Loading and Transforming Images.mp4 12.23MB
  89. 06 - Implementing Feature Extraction/42 - Extracting Features from Images.en.srt 6.34KB
  90. 06 - Implementing Feature Extraction/42 - Extracting Features from Images.mp4 8.03MB
  91. 06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.en.srt 9.27KB
  92. 06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.mp4 14.53MB
  93. 06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.en.srt 6.97KB
  94. 06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.mp4 14.84MB
  95. 06 - Implementing Feature Extraction/45 - Extracting Features from Dates.en.srt 8.33KB
  96. 06 - Implementing Feature Extraction/45 - Extracting Features from Dates.mp4 10.44MB
  97. 06 - Implementing Feature Extraction/46 - Working with Geospatial Features.en.srt 12.38KB
  98. 06 - Implementing Feature Extraction/46 - Working with Geospatial Features.mp4 52.96MB
  99. 06 - Implementing Feature Extraction/47 - Summary and Further Study.en.srt 3.07KB
  100. 06 - Implementing Feature Extraction/47 - Summary and Further Study.mp4 7.17MB
  101. Exercise Files.zip 30.12MB