Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Poisson Regression | Negative Binomial Regression| Zero Inflation | Report Writing | Real world data
Machine Learning feature engineering through Scikit-Learn
a generalized linear models python library implementation from scratch
Curso de Regression Models do Coursera
Cite as: Alba C, M Mittal "Socio-cultural behavioral traits in modeling the prediction of COVID-19 infection rates" Journal of Humanities and Applied Social Sciences Vol. 3 No. 5, pp. 339-355.
Built from a JupyterLab notebook → refactored into a reusable API → deployed with an interactive dashboard.
Coursework, Stata code, and notes for PBHS 32700: Biostatistical Methods (Spring 2024, University of Chicago). Topics include contingency tables, logistic regression, Poisson and negative binomial models, and survival analysis using Kaplan-Meier, Cox, and parametric models. The course emphasizes categorical and time-to-event analysis using Stata.
Here are some projects based on static methods of information processing. There are many different methods that you can use to process your information, depending on your needs.
Python package for Generalized Linear Models
Benchopt benchmark for GLMs
Extended Elo rating system implementation based on the equivalence with logistic regression.
Prototype models for FPL player performance predictions
Convenient functions for fitting Poisson distributions, regressions and processes to data-sets
## Replicating analyses made in the study: Reyes, P. D., Baldovino, M. C., & Aguiar, L. M. (2022). Urine washing in urban robust capuchin monkeys (<i>Sapajus sp. </i>): The relation with visitors. American Journal of Primatology. https://doi.org/10.1002/ajp.23381
Statistical investigation of how sandwich components affect ant attraction, based on a full factorial design with ANOVA and Poisson regression.
Supervised Machine Learning algorithms for Regression in R and Python
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