Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Poisson Regression | Negative Binomial Regression| Zero Inflation | Report Writing | Real world data
Curso de Regression Models do Coursera
Quick Guide for Modelling Count Data in A Multilevel Framework
Entry-level looks at Exploratory Data Analysis (in R & Python) and Regression Models (in R)
Latent gaussian processes for zero inflated count data.
A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
Poisson pseudo-likelihood regression with multiple levels of fixed effects
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