📦 📦 📦 Carpentries R Packages

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

Code to accompany Fink, Fiehn & Wald-Fuhrmann (2024)

Repositorio del Blog Personal Pigeon Stats

Feng Li's Course Materials for Statistical Computing

Jupyter Notebook dedicated to the detailed analysis of the Netflix movies and tv shows using the R programming language

collection of Jupyter Notebooks in both English and Spanish, dedicated to performing data quality analysis using the R programming language

Study about salaries in data scientists roles applying the following techniques: QDA, LDA, Naive-Bayes approach, Random Forests, KNN, SVM, (Logistic, Lasso and Ridge) Regression and Elastic Nets. Also, study of the database considering linear, simple and multivariate models.

My data analytics portfolio. This repository is the collection of my most recent work with data analytics tools.

📱 Análise de dados do estudo "Smartphone based intervention for depressive symptoms: a randomized non-inferiority clinical trial"

Handling Strings in R

The goal of this project is for data frame manipulation. I will work data frame concerned with BCG vaccine coverage for various countries throughout many years.

Repositório para contribuição e atualização de códigos

A Tutorial Introduction to R

Fundamentals in R

Using workshop INT214 Statistics for Information Technology

A case study investigating data sets of FitBit usage to make high-level marketing recommendations for Bellabeat—a high-tech company that manufactures health-focused smart products.

A case study that will analyze publicly available data sets, provided by the course, for a bike share program based in Chicago.

A statistical analysis on the correlation between Temperature and pH measurements, using R language.