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LinkedIn Learning - Logistic Regression in R and Excel [CoursesGhar]

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文件列表

  1. [5] 4. Running a Binomial Logistic Regression in R/[3] The mlogit function syntax.mp4 24MB
  2. [6] 5. Running a Multinomial Logistic Regression in R/[3] The special mlogit syntax.mp4 21MB
  3. [4] 3. Running a Logistic Regression in Excel/[3] Establish the log likelihood and run Solver.mp4 18MB
  4. [6] 5. Running a Multinomial Logistic Regression in R/[2] Identify long versus wide data frames.mp4 16MB
  5. [4] 3. Running a Logistic Regression in Excel/[4] Interpret -2LL or deviance.mp4 14MB
  6. [2] 1. Ordinary Regression and Nominal Outcome Variables/[1] The normality assumption.mp4 13MB
  7. [5] 4. Running a Binomial Logistic Regression in R/[1] Install the mlogit package.mp4 13MB
  8. [3] 2. Solutions to Problems with Ordinary Regression/[5] Predict the log of the odds, the logit.mp4 12MB
  9. [2] 1. Ordinary Regression and Nominal Outcome Variables/[2] Recognize abnormal distribution.mp4 12MB
  10. [2] 1. Ordinary Regression and Nominal Outcome Variables/[3] Forecast Too high or too low.mp4 11MB
  11. [1] Introduction/[1] Welcome.mp4 10MB
  12. [5] 4. Running a Binomial Logistic Regression in R/[2] Establish the data frame with XLGetRange.mp4 10MB
  13. [5] 4. Running a Binomial Logistic Regression in R/[4] Use of glm instead of mlogit.mp4 8MB
  14. [3] 2. Solutions to Problems with Ordinary Regression/[3] Logs exponents, bases, sum of logs, and the log of products.mp4 8MB
  15. [3] 2. Solutions to Problems with Ordinary Regression/[4] Use of log odds to limit the probabilities on the downside.mp4 8MB
  16. [2] 1. Ordinary Regression and Nominal Outcome Variables/[4] Manage different slopes.mp4 8MB
  17. [3] 2. Solutions to Problems with Ordinary Regression/[1] Use of odds instead of probabilities.mp4 6MB
  18. [3] 2. Solutions to Problems with Ordinary Regression/[2] Use of odds to limit the probabilities on the upside.mp4 3MB
  19. [1] Introduction/[3] Exercise files.mp4 2MB
  20. [7] Conclusion/[1] Next steps [CoursesGhar.Com].mp4 2MB
  21. [1] Introduction/[2] What you should know.mp4 1MB
  22. [5] 4. Running a Binomial Logistic Regression in R/[3] The mlogit function syntax.srt 17KB
  23. [6] 5. Running a Multinomial Logistic Regression in R/[3] The special mlogit syntax.srt 13KB
  24. [4] 3. Running a Logistic Regression in Excel/[3] Establish the log likelihood and run Solver.srt 12KB
  25. [6] 5. Running a Multinomial Logistic Regression in R/[2] Identify long versus wide data frames.srt 9KB
  26. [2] 1. Ordinary Regression and Nominal Outcome Variables/[1] The normality assumption.srt 9KB
  27. [4] 3. Running a Logistic Regression in Excel/[4] Interpret -2LL or deviance.srt 8KB
  28. [3] 2. Solutions to Problems with Ordinary Regression/[5] Predict the log of the odds, the logit.srt 8KB
  29. [2] 1. Ordinary Regression and Nominal Outcome Variables/[2] Recognize abnormal distribution.srt 8KB
  30. [2] 1. Ordinary Regression and Nominal Outcome Variables/[3] Forecast Too high or too low.srt 7KB
  31. [5] 4. Running a Binomial Logistic Regression in R/[1] Install the mlogit package.srt 7KB
  32. [5] 4. Running a Binomial Logistic Regression in R/[2] Establish the data frame with XLGetRange.srt 6KB
  33. [2] 1. Ordinary Regression and Nominal Outcome Variables/[4] Manage different slopes.srt 5KB
  34. [3] 2. Solutions to Problems with Ordinary Regression/[4] Use of log odds to limit the probabilities on the downside.srt 5KB
  35. [3] 2. Solutions to Problems with Ordinary Regression/[3] Logs exponents, bases, sum of logs, and the log of products.srt 5KB
  36. [5] 4. Running a Binomial Logistic Regression in R/[4] Use of glm instead of mlogit.srt 4KB
  37. [3] 2. Solutions to Problems with Ordinary Regression/[1] Use of odds instead of probabilities.srt 4KB
  38. [3] 2. Solutions to Problems with Ordinary Regression/[2] Use of odds to limit the probabilities on the upside.srt 2KB
  39. [1] Introduction/[1] Welcome.srt 2KB
  40. [1] Introduction/[3] Exercise files.srt 1KB
  41. [1] Introduction/[2] What you should know.srt 1KB
  42. [7] Conclusion/[1] Next steps [CoursesGhar.Com].srt 1KB
  43. Uploaded by [Coursesghar.com].txt 1KB
  44. !! IMPORTANT Note !!.txt 287B
  45. !!! Please Support !!! [CoursesGhar.Com].txt 197B
  46. telegram @coursesghargate.url 128B
  47. 00. Websites You May Like/CoursesGhar.Com.url 114B
  48. 00. Websites You May Like/New Internet Shortcut.url 114B
  49. Visit coursesghar.com for more awesome tutorials.url 114B