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[FreeCoursesOnline.Me] Pluralsight - Interpreting Data Using Statistical Models with Python

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视频 2020-2-24 21:09 2024-5-11 09:59 115 411.82 MB 40
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FreeCoursesOnline Me Pluralsight - Interpreting Data Using Statistical Models with Python

文件列表
  1. 01.Course Overview/01.01.Course Overview.mp411.12MB
  2. 02.Understanding Inferential Statistics/02.01.Module Overview.mp47.13MB
  3. 02.Understanding Inferential Statistics/02.02.Prerequisites and Course Outline.mp45.2MB
  4. 02.Understanding Inferential Statistics/02.03.Descriptive Statistics to Summarize Data.mp47.68MB
  5. 02.Understanding Inferential Statistics/02.04.Introducing Hypothesis Testing.mp49.14MB
  6. 02.Understanding Inferential Statistics/02.05.Lady Tasting Tea.mp49.12MB
  7. 02.Understanding Inferential Statistics/02.06.The Power, Alpha and p-value of a Statistical Test.mp44.52MB
  8. 02.Understanding Inferential Statistics/02.07.Introducing the t-test.mp47.37MB
  9. 02.Understanding Inferential Statistics/02.08.One Sample Location t-test and the Z-Test.mp45.61MB
  10. 02.Understanding Inferential Statistics/02.09.Other Types of t-tests.mp411.6MB
  11. 02.Understanding Inferential Statistics/02.10.One-way ANOVA.mp411.81MB
  12. 02.Understanding Inferential Statistics/02.11.Two-way ANOVA.mp44.56MB
  13. 02.Understanding Inferential Statistics/02.12.Pearson's Chi2 Test.mp48.1MB
  14. 02.Understanding Inferential Statistics/02.13.Module Summary.mp42.67MB
  15. 03.Performing Hypothesis Testing in Python/03.01.Module Overview.mp46.58MB
  16. 03.Performing Hypothesis Testing in Python/03.02.Demo Preparing Data for Hypothesis Testing.mp418.89MB
  17. 03.Performing Hypothesis Testing in Python/03.03.Demo Performing the Independent t-test.mp415.03MB
  18. 03.Performing Hypothesis Testing in Python/03.04.Demo Performing Welch's t-test.mp415.41MB
  19. 03.Performing Hypothesis Testing in Python/03.05.Demo Performing the Paired Difference t-test.mp412.25MB
  20. 03.Performing Hypothesis Testing in Python/03.06.Demo One-way ANOVA and Tukey's Honest Significant Difference Test.mp412.6MB
  21. 03.Performing Hypothesis Testing in Python/03.07.Demo Two-way ANOVA.mp420.64MB
  22. 03.Performing Hypothesis Testing in Python/03.08.Demo Chi2 Analysis.mp417.58MB
  23. 03.Performing Hypothesis Testing in Python/03.09.Module Summary.mp42.52MB
  24. 04.Implementing Predictive Models for Continuous Data/04.01.Module Overview.mp42.12MB
  25. 04.Implementing Predictive Models for Continuous Data/04.02.Introducing Linear Regression.mp46.45MB
  26. 04.Implementing Predictive Models for Continuous Data/04.03.Minimizing Mean Square Error.mp45.81MB
  27. 04.Implementing Predictive Models for Continuous Data/04.04.Multiple Regression and Adjusted R-square.mp48.27MB
  28. 04.Implementing Predictive Models for Continuous Data/04.05.Demo Preparing Data for Simple Linear Regression.mp414.22MB
  29. 04.Implementing Predictive Models for Continuous Data/04.06.Demo Linear ..Techniques.mp411.93MB
  30. 04.Implementing Predictive Models for Continuous Data/04.07.Demo Visualizing Correlations in Data.mp48.41MB
  31. 04.Implementing Predictive Models for Continuous Data/04.08.Demo Selecting..Using Correlations.mp413.21MB
  32. 04.Implementing Predictive Models for Continuous Data/04.09.Demo Selecting..Mutual Information.mp46.21MB
  33. 04.Implementing Predictive Models for Continuous Data/04.10.Module Summary.mp42.2MB
  34. 05.Implementing Predictive Models for Categorical Data/05.01.Module Overview.mp42.92MB
  35. 05.Implementing Predictive Models for Categorical Data/05.02.The Intuition behind Logistic Regression.mp410.76MB
  36. 05.Implementing Predictive Models for Categorical Data/05.03.Logistic Regression and Linear Regression.mp45.61MB
  37. 05.Implementing Predictive Models for Categorical Data/05.04.Accuracy, Precision, and Recall.mp49.88MB
  38. 05.Implementing Predictive Models for Categorical Data/05.05.Demo Performing Classification Using Logistic Regression.mp414.86MB
  39. 05.Implementing Predictive Models for Categorical Data/05.06.Demo Selecting..Information.mp453.09MB
  40. 05.Implementing Predictive Models for Categorical Data/05.07.Summary and Further Study.mp48.73MB
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