MUSA 5000 homeworks.

Built from a JupyterLab notebook → refactored into a reusable API → deployed with an interactive dashboard.

Poisson pseudo-likelihood regression with multiple levels of fixed effects

Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Poisson Regression | Negative Binomial Regression| Zero Inflation | Report Writing | Real world data

Latent gaussian processes for zero inflated count data.

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

Quick Guide for Modelling Count Data in A Multilevel Framework

A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.

Curso de Regression Models do Coursera

Entry-level looks at Exploratory Data Analysis (in R & Python) and Regression Models (in R)