This is the home repository for my personal/professional website.

This MCP server was developed to improve Cline's agentic workflows by being up-to-date with the public repositories and docs under https://github.com/tidymodels

Projet d'analyse de données et de machine learning sur les campagnes de marketing direct d'une institution bancaire portugaise. L'objectif est de prédire la souscription à un dépôt à terme en utilisant diverses techniques d'apprentissage automatique.

Complete Machine Learning project in Quarto R featuring supervised learning models for predictive analytics and customer segmentation. Includes interactive Shiny application with dynamic visualizations, performance metrics, and deployed on shinyapps.io.

Predicting Strike Outcomes: A Labor Action Analysis Using R and Tidymodels. This project utilizes the LAT and ACS datasets to build a LASSO logistic regression model, achieving 88% accuracy in predicting whether labor actions result in strikes or non-strikes. Features are selected through regularization for optimal model performance.

Futuro livro sobre modelos lineares

Pima Indian Diabetes via Kaggle. Fit classification models (logistic regression, knn, random forest, xgboost) to data.