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GLM MLE Logistic and Poisson regression

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This product consists of 15 PDFs covering the same videos in my play list "GLM MLE Logistic and Poisson regression" [June 2022] on youtube:

01_Probability vs Likelihood - Explained.pdf
02_MLE vs OLS Maximum likelihood vs least squares in linear regression.pdf
03_Logistic regression the basics - simply explained.pdf
04_Logistic regression how to use it as a classifier.pdf
05_Logistic regression Likelihood and deviance.pdf
06_Logistic regression Likelihood ratio test and AIC.pdf
07_The Poisson distribution vs the normal distribution.pdf
08_Poisson regression - clearly explained.pdf
09_Poisson regression - rates and the offset.pdf
10_Poisson regression - categorical variable.pdf
11_Poisson regression - How to calculate likelihood and deviance.pdf
12_Poisson regression - Likelihood ratio test (LRT) and AIC.pdf
13_Quasi-Poisson and negative binomial regression models.pdf
14_Zero-inflated Poisson (ZIP) regression.pdf
You will get the following files:
  • PDF (365KB)
  • PDF (1MB)
  • PDF (2MB)
  • PDF (2MB)
  • PDF (1MB)
  • PDF (621KB)
  • PDF (563KB)
  • PDF (952KB)
  • PDF (545KB)
  • PDF (815KB)
  • PDF (632KB)
  • PDF (428KB)
  • PDF (747KB)
  • PDF (575KB)
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