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

磁力链接/BT种子名称

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

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种子哈希：d8b713e1b5662fa0ddbc73c3b9cdb400f534587f
文件大小：220.81M
已经下载：837次
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收录时间：2022-06-19
最近下载：2025-05-29

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文件列表

  • [5] 4. Running a Binomial Logistic Regression in R/[3] The mlogit function syntax.mp4 25.6 MB
  • [6] 5. Running a Multinomial Logistic Regression in R/[3] The special mlogit syntax.mp4 21.6 MB
  • [4] 3. Running a Logistic Regression in Excel/[3] Establish the log likelihood and run Solver.mp4 19.3 MB
  • [6] 5. Running a Multinomial Logistic Regression in R/[2] Identify long versus wide data frames.mp4 17.2 MB
  • [4] 3. Running a Logistic Regression in Excel/[4] Interpret -2LL or deviance.mp4 14.3 MB
  • [2] 1. Ordinary Regression and Nominal Outcome Variables/[1] The normality assumption.mp4 13.4 MB
  • [5] 4. Running a Binomial Logistic Regression in R/[1] Install the mlogit package.mp4 13.4 MB
  • [3] 2. Solutions to Problems with Ordinary Regression/[5] Predict the log of the odds, the logit.mp4 12.9 MB
  • [2] 1. Ordinary Regression and Nominal Outcome Variables/[2] Recognize abnormal distribution.mp4 12.5 MB
  • [2] 1. Ordinary Regression and Nominal Outcome Variables/[3] Forecast Too high or too low.mp4 11.1 MB
  • [1] Introduction/[1] Welcome.mp4 10.5 MB
  • [5] 4. Running a Binomial Logistic Regression in R/[2] Establish the data frame with XLGetRange.mp4 10.4 MB
  • [5] 4. Running a Binomial Logistic Regression in R/[4] Use of glm instead of mlogit.mp4 8.6 MB
  • [3] 2. Solutions to Problems with Ordinary Regression/[3] Logs exponents, bases, sum of logs, and the log of products.mp4 8.5 MB
  • [3] 2. Solutions to Problems with Ordinary Regression/[4] Use of log odds to limit the probabilities on the downside.mp4 8.4 MB
  • [2] 1. Ordinary Regression and Nominal Outcome Variables/[4] Manage different slopes.mp4 8.2 MB
  • [3] 2. Solutions to Problems with Ordinary Regression/[1] Use of odds instead of probabilities.mp4 6.6 MB
  • [3] 2. Solutions to Problems with Ordinary Regression/[2] Use of odds to limit the probabilities on the upside.mp4 3.4 MB
  • [1] Introduction/[3] Exercise files.mp4 2.4 MB
  • [7] Conclusion/[1] Next steps [CoursesGhar.Com].mp4 1.9 MB
  • [1] Introduction/[2] What you should know.mp4 1.3 MB
  • [5] 4. Running a Binomial Logistic Regression in R/[3] The mlogit function syntax.srt 17.8 kB
  • [6] 5. Running a Multinomial Logistic Regression in R/[3] The special mlogit syntax.srt 13.6 kB
  • [4] 3. Running a Logistic Regression in Excel/[3] Establish the log likelihood and run Solver.srt 11.8 kB
  • [6] 5. Running a Multinomial Logistic Regression in R/[2] Identify long versus wide data frames.srt 9.4 kB
  • [2] 1. Ordinary Regression and Nominal Outcome Variables/[1] The normality assumption.srt 8.9 kB
  • [4] 3. Running a Logistic Regression in Excel/[4] Interpret -2LL or deviance.srt 8.3 kB
  • [3] 2. Solutions to Problems with Ordinary Regression/[5] Predict the log of the odds, the logit.srt 7.8 kB
  • [2] 1. Ordinary Regression and Nominal Outcome Variables/[2] Recognize abnormal distribution.srt 7.8 kB
  • [2] 1. Ordinary Regression and Nominal Outcome Variables/[3] Forecast Too high or too low.srt 7.6 kB
  • [5] 4. Running a Binomial Logistic Regression in R/[1] Install the mlogit package.srt 7.3 kB
  • [5] 4. Running a Binomial Logistic Regression in R/[2] Establish the data frame with XLGetRange.srt 6.4 kB
  • [2] 1. Ordinary Regression and Nominal Outcome Variables/[4] Manage different slopes.srt 5.3 kB
  • [3] 2. Solutions to Problems with Ordinary Regression/[4] Use of log odds to limit the probabilities on the downside.srt 5.3 kB
  • [3] 2. Solutions to Problems with Ordinary Regression/[3] Logs exponents, bases, sum of logs, and the log of products.srt 5.2 kB
  • [5] 4. Running a Binomial Logistic Regression in R/[4] Use of glm instead of mlogit.srt 4.6 kB
  • [3] 2. Solutions to Problems with Ordinary Regression/[1] Use of odds instead of probabilities.srt 4.4 kB
  • [3] 2. Solutions to Problems with Ordinary Regression/[2] Use of odds to limit the probabilities on the upside.srt 2.1 kB
  • [1] Introduction/[1] Welcome.srt 2.0 kB
  • [1] Introduction/[3] Exercise files.srt 1.5 kB
  • [1] Introduction/[2] What you should know.srt 1.5 kB
  • [7] Conclusion/[1] Next steps [CoursesGhar.Com].srt 1.3 kB
  • Uploaded by [Coursesghar.com].txt 1.1 kB
  • !! IMPORTANT Note !!.txt 287 Bytes
  • !!! Please Support !!! [CoursesGhar.Com].txt 197 Bytes
  • telegram @coursesghargate.url 128 Bytes
  • 00. Websites You May Like/CoursesGhar.Com.url 114 Bytes
  • 00. Websites You May Like/New Internet Shortcut.url 114 Bytes
  • Visit coursesghar.com for more awesome tutorials.url 114 Bytes

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