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Understanding and Applying Linear Regression

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视频 2019-5-7 17:25 2024-11-13 08:28 170 481.1 MB 44
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文件列表
  1. 01 - Course Overview - Course Overview.mp44.39MB
  2. 02 - Modeling Relationships Between Variables Using Regression - Connecting the Dots Using Linear Regression.mp49.02MB
  3. 03 - Modeling Relationships Between Variables Using Regression - Reasons for Using Regression.mp410.88MB
  4. 04 - Modeling Relationships Between Variables Using Regression - Versatility of Regression.mp43.38MB
  5. 05 - Modeling Relationships Between Variables Using Regression - Regression as Machine Learning.mp47.7MB
  6. 06 - Modeling Relationships Between Variables Using Regression - Mean and Variance.mp44.5MB
  7. 07 - Modeling Relationships Between Variables Using Regression - Probability Distributions and the Bell Curve.mp49.32MB
  8. 08 - Understanding Simple Regression Models - Setting up the Regression Problem.mp46.15MB
  9. 09 - Understanding Simple Regression Models - The Best Fit Line.mp45.53MB
  10. 10 - Understanding Simple Regression Models - A Quick Taste of Regression in Excel.mp411.04MB
  11. 11 - Understanding Simple Regression Models - Solving the Regression Problem.mp46.53MB
  12. 12 - Understanding Simple Regression Models - Residuals and the Regression Assumptions.mp47.55MB
  13. 13 - Understanding Simple Regression Models - Explaining Variance Using Simple Regression.mp46.35MB
  14. 14 - Understanding Simple Regression Models - R-squared as Variance Explained.mp48.24MB
  15. 15 - Understanding Simple Regression Models - Prediction Using Simple Regression.mp48.84MB
  16. 16 - Implementing Simple Regression Models in Excel - Applying Simple Regression.mp49.86MB
  17. 17 - Implementing Simple Regression Models in Excel - Violations of Regression Assumptions.mp415.74MB
  18. 18 - Implementing Simple Regression Models in Excel - Fast Prototyping in Excel.mp422.92MB
  19. 19 - Implementing Simple Regression Models in Excel - Slope, Intercept, and Prediction.mp424.03MB
  20. 20 - Implementing Simple Regression Models in Excel - Poorly Specified Regression Models.mp417.4MB
  21. 21 - Implementing Simple Regression Models in R - R for Regression.mp47.65MB
  22. 22 - Implementing Simple Regression Models in R - Data Frames in R.mp412.25MB
  23. 23 - Implementing Simple Regression Models in R - Regressing Returns, Not Prices.mp415.88MB
  24. 24 - Implementing Simple Regression Models in R - Prediction with Regression in R.mp411.4MB
  25. 25 - Implementing Simple Regression Models in Python - When Python Is the Right Tool for Regression.mp46.21MB
  26. 26 - Implementing Simple Regression Models in Python - Using Pandas and NumPy.mp410.94MB
  27. 27 - Implementing Simple Regression Models in Python - Linear Regression as Machine Learning.mp411.15MB
  28. 28 - Understanding Multiple Regression Models - Introducing Multiple Regression.mp411.2MB
  29. 29 - Understanding Multiple Regression Models - Risks in Multiple Regression.mp48.34MB
  30. 30 - Understanding Multiple Regression Models - Detecting Multicollinearity.mp49.21MB
  31. 31 - Understanding Multiple Regression Models - Multicollinearity - Prevention and Cure.mp48.69MB
  32. 32 - Understanding Multiple Regression Models - Benefits of Multiple Regression.mp45.74MB
  33. 33 - Understanding Multiple Regression Models - Interpreting the Results of a Regression Analysis.mp47.72MB
  34. 34 - Understanding Multiple Regression Models - Categorical Variables.mp410.66MB
  35. 35 - Implementing Multiple Regression Models in Excel - Introducing Linest in Excel.mp48.9MB
  36. 36 - Implementing Multiple Regression Models in Excel - Standard Errors.mp412.18MB
  37. 37 - Implementing Multiple Regression Models in Excel - T-statistics and P-values.mp46.86MB
  38. 38 - Implementing Multiple Regression Models in Excel - The F-statistic.mp48.34MB
  39. 39 - Implementing Multiple Regression Models in Excel - Multiple Regression with Linest.mp417.17MB
  40. 40 - Implementing Multiple Regression Models in Excel - Categorical Variables in Excel.mp421.69MB
  41. 41 - Implementing Multiple Regression Models in R - Multiple Regression in R.mp418.8MB
  42. 42 - Implementing Multiple Regression Models in R - Categorical Variables Without an Intercept in R.mp417.25MB
  43. 43 - Implementing Multiple Regression Models in Python - Multiple Regression in Two Different Ways.mp416.83MB
  44. 44 - Implementing Multiple Regression Models in Python - Categorical Variables.mp416.66MB
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