Posts – Angel Feliz

A Practical Guide to Preprocessing with R’s `recipes` Package for Classification Models

Machine Learning

Feature Engineering

Data Preprocessing

R Programming

Recipes Package

Preprocessing is a critical step in building effective machine learning models. It involves transforming, encoding, scaling, imputing, and selecting features to optimize…

Data Preprocessing with {tidymodels} and R

Machine Learning

Feature Engineering

Data preprocessing is the cornerstone of robust machine learning pipelines. Drawing from Max Kuhn’s Applied Predictive Modeling, this guide explores essential…

R + Docker: Configuración paso a paso para análisis de datos consistentes

Introduction to R

Good Practices

El lenguaje R es ampliamente reconocido por su versatilidad en el análisis de datos, y aunque se puede instalar y ejecutar directamente R y RStudio en casi cualquier…

Handling Missing Values

Machine Learning

Feature Engineering

If you are working with real data, it’s normal to find missing values, so it’s very important to understand how to manage them correctly. In R, the default for many…

The Art of Readiable R code

Good Practices

Coding Style

When we start our journey as programmers it’s normal to get excited by the new possibilities. We get the capacity to do many things that otherwise would be impossible…