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[] Pluralsight - Creating Machine Learning Models

  • 收录时间:2020-06-27 09:49:13
  • 文件大小:391MB
  • 下载次数:71
  • 最近下载:2021-01-19 18:54:15
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文件列表

  1. 05.Understanding and Implementing Clustering Model/05.09.Demo Agglomerative Clustering.mp4 49MB
  2. 05.Understanding and Implementing Clustering Model/05.08.Demo Clustering Using Labeled Data.mp4 18MB
  3. 03.Understanding and Implementing Regression Models/03.03.Demo Linear Regression Using Numeric Features.mp4 18MB
  4. 04.Understanding and Implementing Classification Models/04.07.Demo Building Classification Models Using Multiple Techniques.mp4 15MB
  5. 04.Understanding and Implementing Classification Models/04.09.Demo Performing Multiclass Classification on Text Data.mp4 15MB
  6. 04.Understanding and Implementing Classification Models/04.04.Demo Building and Training a Binary Classification Model.mp4 14MB
  7. 02.Understanding Approaches to Machine Learning/02.03.Rule-based vs. ML-based Learning.mp4 14MB
  8. 03.Understanding and Implementing Regression Models/03.09.Demo Multiple Types of Regression.mp4 12MB
  9. 05.Understanding and Implementing Clustering Model/05.07.Demo Performing K-means Clustering on Unlabeled Data.mp4 12MB
  10. 02.Understanding Approaches to Machine Learning/02.06.Choosing the Right Model Based on Data.mp4 10MB
  11. 03.Understanding and Implementing Regression Models/03.05.Demo Preprocessing Numeric and Categorical Data and Fitting a Regression Model.mp4 10MB
  12. 02.Understanding Approaches to Machine Learning/02.08.Transfer Learning, Cold Start ML and Warm Start ML.mp4 10MB
  13. 04.Understanding and Implementing Classification Models/04.03.Understanding Logistic Regression Intuitively.mp4 10MB
  14. 01.Course Overview/01.01.Course Overview.mp4 10MB
  15. 04.Understanding and Implementing Classification Models/04.06.Understanding Decision Tree and Naive Bayes Classification.mp4 10MB
  16. 03.Understanding and Implementing Regression Models/03.04.Demo Exploring Regression Data.mp4 10MB
  17. 03.Understanding and Implementing Regression Models/03.02.Building and Evaluating Regression Models.mp4 9MB
  18. 02.Understanding Approaches to Machine Learning/02.07.Supervised vs. Unsupervised Learning.mp4 9MB
  19. Exercise_file.zip 8MB
  20. 04.Understanding and Implementing Classification Models/04.02.Types of Classifiers.mp4 8MB
  21. 05.Understanding and Implementing Clustering Model/05.02.Clustering as an Unsupervised Learning Technique.mp4 8MB
  22. 04.Understanding and Implementing Classification Models/04.05.Understanding Support Vector and Nearest Neighbors Classification.mp4 7MB
  23. 03.Understanding and Implementing Regression Models/03.07.Regularized Regression Models Lasso, Ridge, and Elastic Net.mp4 7MB
  24. 05.Understanding and Implementing Clustering Model/05.03.Choosing Clustering Algorithms.mp4 7MB
  25. 02.Understanding Approaches to Machine Learning/02.04.Traditional ML vs. Representation ML.mp4 7MB
  26. 05.Understanding and Implementing Clustering Model/05.06.Hierarchical Clustering.mp4 7MB
  27. 05.Understanding and Implementing Clustering Model/05.10.Summary and Further Study.mp4 7MB
  28. 04.Understanding and Implementing Classification Models/04.08.Demo Using Warm Start with an Ensemble Classifier.mp4 7MB
  29. 02.Understanding Approaches to Machine Learning/02.09.Popular Machine Learning Frameworks.mp4 7MB
  30. 02.Understanding Approaches to Machine Learning/02.01.Module Overview.mp4 7MB
  31. 02.Understanding Approaches to Machine Learning/02.05.The Machine Learning Workflow.mp4 6MB
  32. 05.Understanding and Implementing Clustering Model/05.04.Categorizing Clustering Algorithms.mp4 6MB
  33. 05.Understanding and Implementing Clustering Model/05.05.K-means Clustering.mp4 5MB
  34. 03.Understanding and Implementing Regression Models/03.06.Choosing Regression Algorithms.mp4 5MB
  35. 02.Understanding Approaches to Machine Learning/02.02.Prerequisites and Course Outline.mp4 5MB
  36. 03.Understanding and Implementing Regression Models/03.08.Stochastic Gradient Descent.mp4 4MB
  37. 02.Understanding Approaches to Machine Learning/02.10.Demo Getting Started with scikit-learn.mp4 4MB
  38. 02.Understanding Approaches to Machine Learning/02.11.Module Summary.mp4 3MB
  39. 03.Understanding and Implementing Regression Models/03.10.Module Summary.mp4 3MB
  40. 03.Understanding and Implementing Regression Models/03.01.Module Overview.mp4 2MB
  41. 04.Understanding and Implementing Classification Models/04.01.Module Overview.mp4 2MB
  42. 05.Understanding and Implementing Clustering Model/05.01.Module Overview.mp4 2MB
  43. 04.Understanding and Implementing Classification Models/04.10.Module Summary.mp4 2MB
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