Using workshop INT214 Statistics for Information Technology
-
Updated
Aug 3, 2023 - HTML
Using workshop INT214 Statistics for Information Technology
Repository for the Data Science Professional Program from Harvard University on edX
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).
Materials on the analysis of microarray expression data; focus on re-analysis of public data ( http://tinyurl.com/cruk-microarray)
Data Science Specialization Capstone Project implementation
Handling Strings in R
A Tutorial Introduction to R
Feng Li's Course Materials for Statistical Computing
Using 311 NYC Open Data to analyze what New Yorkers complain about.
Bioinformatics workshop on Data management, analysis and visualisation
Investigação da Execução Orçamentária e dados de despesas pelo Estado e Município.
Introduction to Social Media Data Analytics and Natural Language Processing in R
Repositório para contribuição e atualização de códigos
A two-hour R introductory session for medical students
Kurs zur Nutzung von R in den Sozialwissenschaften
Assignments, Quizzes and Projects from DS Specialization from Coursera
Detecção de Fraudes no Tráfego de Cliques em Propagandas de Aplicações Mobile
Instructor notes in R for IE6600 Computation and Visualization for Analytics
This repo sums up my experience learning from R-Language while taking courses from either JHU's coursera sites (Data Science, Data Visualization and Tidyverse Specialization) and other resources.
Add a description, image, and links to the r-language topic page so that developers can more easily learn about it.
To associate your repository with the r-language topic, visit your repo's landing page and select "manage topics."