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Linkedin Machine Learning and AI Foundations Decision Trees with KNIME

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Linkedin Machine Learning and AI Foundations Decision Trees with KNIME
Language: English
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Size: 311.0 MB
Added: Oct. 23, 2023, 11:20 a.m.
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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 01 - The basics of decision trees.mp4 7.2 MB
  3. 01 - The basics of decision trees.srt 2.1 KB
  4. 02 - What you should know.mp4 2.0 MB
  5. 02 - What you should know.srt 1.6 KB
  6. 03 - How to use the practice files.mp4 4.5 MB
  7. 03 - How to use the practice files.srt 2.2 KB
  8. 01 - What is a decision tree.mp4 7.2 MB
  9. 01 - What is a decision tree.srt 4.9 KB
  10. 02 - The pros and cons of decision trees.mp4 10.1 MB
  11. 02 - The pros and cons of decision trees.srt 8.1 KB
  12. 03 - Introducing KNIME.mp4 12.8 MB
  13. 03 - Introducing KNIME.srt 6.0 KB
  14. 04 - A quick review of machine learning basics with examples.mp4 20.3 MB
  15. 04 - A quick review of machine learning basics with examples.srt 10.4 KB
  16. 05 - An overview of decision tree algorithms.mp4 12.5 MB
  17. 05 - An overview of decision tree algorithms.srt 5.8 KB
  18. 01 - Ross Quinlan, ID3, C4.5, and C5.0.mp4 5.7 MB
  19. 01 - Ross Quinlan, ID3, C4.5, and C5.0.srt 3.6 KB
  20. 02 - Understanding the entropy calculation.mp4 11.7 MB
  21. 02 - Understanding the entropy calculation.srt 9.1 KB
  22. 03 - How C4.5 handles missing data.mp4 6.0 MB
  23. 03 - How C4.5 handles missing data.srt 4.4 KB
  24. 04 - The Give Me Some Credit data set.mp4 7.9 MB
  25. 04 - The Give Me Some Credit data set.srt 4.6 KB
  26. 05 - Working with the prebuilt example.mp4 15.9 MB
  27. 05 - Working with the prebuilt example.srt 8.8 KB
  28. 06 - KNIME settings for C4.5.mp4 8.6 MB
  29. 06 - KNIME settings for C4.5.srt 4.9 KB
  30. 07 - How C4.5 handles nominal variables.mp4 7.4 MB
  31. 07 - How C4.5 handles nominal variables.srt 3.6 KB
  32. 08 - How C4.5 handles continuous variables.mp4 4.2 MB
  33. 08 - How C4.5 handles continuous variables.srt 2.3 KB
  34. 09 - Equal size sampling.mp4 6.4 MB
  35. 09 - Equal size sampling.srt 3.3 KB
  36. 10 - A quick look at the complete C4.5 tree.mp4 6.4 MB
  37. 10 - A quick look at the complete C4.5 tree.srt 4.3 KB
  38. 11 - Evaluating the accuracy of your C4.5 tree.mp4 9.3 MB
  39. 11 - Evaluating the accuracy of your C4.5 tree.srt 4.4 KB
  40. 12 - When to turn off pruning.mp4 16.4 MB
  41. 12 - When to turn off pruning.srt 8.6 KB
  42. 01 - Introducing Leo Breiman and CART.mp4 11.6 MB
  43. 01 - Introducing Leo Breiman and CART.srt 5.9 KB
  44. 02 - What is the Gini coefficient.mp4 7.0 MB
  45. 02 - What is the Gini coefficient.srt 4.0 KB
  46. 03 - How CART handles missing data using surrogates.mp4 9.8 MB
  47. 03 - How CART handles missing data using surrogates.srt 8.0 KB
  48. 04 - Changing the settings in KNIME.mp4 7.8 MB
  49. 04 - Changing the settings in KNIME.srt 4.5 KB
  50. 05 - How CART handles nominal variables.mp4 4.6 MB
  51. 05 - How CART handles nominal variables.srt 2.6 KB
  52. 06 - A quick look at the complete CART tree.mp4 7.2 MB
  53. 06 - A quick look at the complete CART tree.srt 3.6 KB
  54. 07 - Evaluating the accuracy of your CART tree.mp4 3.4 MB
  55. 07 - Evaluating the accuracy of your CART tree.srt 2.0 KB
  56. 01 - MPG data set.mp4 4.5 MB
  57. 01 - MPG data set.srt 1.9 KB
  58. 02 - The regression tree prebuilt example.mp4 12.0 MB
  59. 02 - The regression tree prebuilt example.srt 6.3 KB
  60. 03 - The math behind regression trees.mp4 4.0 MB
  61. 03 - The math behind regression trees.srt 3.6 KB
  62. 04 - How RT handles nominal variables.mp4 11.1 MB
  63. 04 - How RT handles nominal variables.srt 6.5 KB
  64. 05 - Ordinal variable handling.mp4 10.1 MB
  65. 05 - Ordinal variable handling.srt 5.4 KB
  66. 06 - Closer look at a full regression tree.mp4 9.1 MB
  67. 06 - Closer look at a full regression tree.srt 5.3 KB
  68. 07 - KNIME's missing data options for regression trees.mp4 7.7 MB
  69. 07 - KNIME's missing data options for regression trees.srt 4.5 KB
  70. 08 - Line plot.mp4 7.9 MB
  71. 08 - Line plot.srt 3.8 KB
  72. 09 - Accuracy.mp4 6.6 MB
  73. 09 - Accuracy.srt 3.6 KB
  74. 01 - Next steps.mp4 1.7 MB
  75. 01 - Next steps.srt 1.6 KB
  76. Bonus Resources.txt 386 bytes
  77. Chapter_2_Example_for_Learning_a_Decision_Tree.knwf 787.2 KB
  78. Chapter_3_Example_for_Learning_a_Decision_Tree.knwf 787.2 KB
  79. Chapter_4_Example_for_Learning_a_Decision_Tree.knwf 787.2 KB

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