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

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2020-2-8 08:35 2024-7-6 04:09 134 437.85 MB 47
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FreeCoursesOnline Me Pluralsight Preparing Data for Feature Engineering and Machine Learning FCO

文件列表
  1. 01 - Course Overview/01 - Course Overview.mp49.67MB
  2. 02 - Understanding the Role of Features in Machine Learning/02 - Module Overview.mp45.29MB
  3. 02 - Understanding the Role of Features in Machine Learning/03 - Prerequisites and Course Outline.mp44.68MB
  4. 02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.mp49.15MB
  5. 02 - Understanding the Role of Features in Machine Learning/05 - The Machine Learning Workflow.mp46.33MB
  6. 02 - Understanding the Role of Features in Machine Learning/06 - Components of Feature Engineering.mp43.57MB
  7. 02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.mp410.36MB
  8. 02 - Understanding the Role of Features in Machine Learning/08 - Feature Combination and Dimensionality Reduction.mp45.78MB
  9. 02 - Understanding the Role of Features in Machine Learning/09 - Training, Validation, and Test Data.mp47.94MB
  10. 02 - Understanding the Role of Features in Machine Learning/10 - K-fold Cross Validation.mp46.9MB
  11. 02 - Understanding the Role of Features in Machine Learning/11 - Module Summary.mp45.42MB
  12. 03 - Preparing Data for Machine Learning/12 - Module Overview.mp46.4MB
  13. 03 - Preparing Data for Machine Learning/13 - Problems with Data.mp46.6MB
  14. 03 - Preparing Data for Machine Learning/14 - Dealing with Missing Values.mp46.39MB
  15. 03 - Preparing Data for Machine Learning/15 - Dealing with Outliers.mp48.16MB
  16. 03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.mp413.89MB
  17. 03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.mp412.97MB
  18. 03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.mp416.31MB
  19. 03 - Preparing Data for Machine Learning/19 - Perform Simple and Multiple Linear Regression.mp48.71MB
  20. 03 - Preparing Data for Machine Learning/20 - Module Summary.mp44.62MB
  21. 04 - Understanding and Implementing Feature Selection/21 - Module Overview.mp42.02MB
  22. 04 - Understanding and Implementing Feature Selection/22 - Types of Data.mp46.66MB
  23. 04 - Understanding and Implementing Feature Selection/23 - Measuring Correlations.mp46.26MB
  24. 04 - Understanding and Implementing Feature Selection/24 - Understanding Feature Selection Using Filter, Embedded, and Wrapper Methods.mp48.08MB
  25. 04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.mp410.75MB
  26. 04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.mp414.42MB
  27. 04 - Understanding and Implementing Feature Selection/27 - Calculating and Visualizing Correlations Using Yellowbrick.mp46.82MB
  28. 04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.mp413.32MB
  29. 04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.mp412.8MB
  30. 04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.mp410.19MB
  31. 04 - Understanding and Implementing Feature Selection/31 - Module Summary.mp41.96MB
  32. 05 - Exploring Feature Extraction Techniques/32 - Module Overview.mp42.02MB
  33. 05 - Exploring Feature Extraction Techniques/33 - Representing Images as Matrices and Image Preprocessing Techniques.mp46.65MB
  34. 05 - Exploring Feature Extraction Techniques/34 - Feature Detection and Extraction from Images.mp47.71MB
  35. 05 - Exploring Feature Extraction Techniques/35 - Feature Extraction from Text.mp48.01MB
  36. 05 - Exploring Feature Extraction Techniques/36 - Module Summary.mp41.69MB
  37. 06 - Implementing Feature Extraction/37 - Module Overview.mp45.35MB
  38. 06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.mp48.82MB
  39. 06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.mp411.52MB
  40. 06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.mp413.47MB
  41. 06 - Implementing Feature Extraction/41 - Loading and Transforming Images.mp412.23MB
  42. 06 - Implementing Feature Extraction/42 - Extracting Features from Images.mp48.03MB
  43. 06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.mp414.53MB
  44. 06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.mp414.84MB
  45. 06 - Implementing Feature Extraction/45 - Extracting Features from Dates.mp410.44MB
  46. 06 - Implementing Feature Extraction/46 - Working with Geospatial Features.mp452.96MB
  47. 06 - Implementing Feature Extraction/47 - Summary and Further Study.mp47.17MB
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