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Machine Learning and AI Foundations - Classification Modeling

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视频 2018-12-24 09:00 2024-5-29 15:31 110 249.75 MB 31
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文件列表
  1. 4.3. Algorithms on Parade/18.Logistic regression.mp424.63MB
  2. 1.Introduction/01.Classification problems in machine learning.mp43.9MB
  3. 1.Introduction/02.What you should know.mp43.64MB
  4. 1.Introduction/03.Defining terms.mp44.95MB
  5. 2.1. The Big Picture - Defining Your Classification Strategy/04.The importance of binary classification.mp43.21MB
  6. 2.1. The Big Picture - Defining Your Classification Strategy/05.Binary vs. multinomial.mp48.94MB
  7. 2.1. The Big Picture - Defining Your Classification Strategy/06.So-called “black box” techniques.mp46.66MB
  8. 2.1. The Big Picture - Defining Your Classification Strategy/07.One task, many algorithms.mp48.53MB
  9. 2.1. The Big Picture - Defining Your Classification Strategy/08.Statistics vs. machine learning.mp46.68MB
  10. 2.1. The Big Picture - Defining Your Classification Strategy/09.Model assessment vs. business evaluation.mp44.87MB
  11. 3.2. How Do I Choose a 'Winner'/10.Training and test partitions.mp45.46MB
  12. 3.2. How Do I Choose a 'Winner'/11.Lift Charts.mp43.37MB
  13. 3.2. How Do I Choose a 'Winner'/12.Gains tables.mp44.46MB
  14. 3.2. How Do I Choose a 'Winner'/13.Confusion matrix.mp46.07MB
  15. 4.3. Algorithms on Parade/14.Overview.mp43.56MB
  16. 4.3. Algorithms on Parade/15.Discriminant with three categories.mp412.15MB
  17. 4.3. Algorithms on Parade/16.Discriminant with two categories.mp48.81MB
  18. 4.3. Algorithms on Parade/17.Stepwise discriminant.mp41.76MB
  19. 4.3. Algorithms on Parade/19.Stepwise logistic regression.mp41.74MB
  20. 4.3. Algorithms on Parade/20.Decision Trees.mp49.24MB
  21. 4.3. Algorithms on Parade/21.KNN.mp48.88MB
  22. 4.3. Algorithms on Parade/22.Linear SVM.mp413.31MB
  23. 4.3. Algorithms on Parade/23.Neural nets.mp414.87MB
  24. 4.3. Algorithms on Parade/24.Bayesian networks.mp417.7MB
  25. 4.3. Algorithms on Parade/25.Ensembles.mp49.42MB
  26. 5.4. Common Modeling Challenges/26.Imbalanced target categories.mp45.83MB
  27. 5.4. Common Modeling Challenges/27.Interactions.mp48.24MB
  28. 5.4. Common Modeling Challenges/28.Missing data.mp46.67MB
  29. 5.4. Common Modeling Challenges/29.Bias-variance trade-off and overfitting.mp411.2MB
  30. 5.4. Common Modeling Challenges/30.Data reduction.mp415.34MB
  31. 6.Conclusion/31.Next steps.mp45.65MB
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