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Tutorial de programação R
Em nossos tutoriais de R, você encontrará dicas úteis e casos de uso para aumentar suas habilidades de programação. Manteremos você atualizado com as técnicas mais recentes.
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GFLASSO: Graph-Guided Fused LASSO in R
Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!
Francisco Lima
26 de abril de 2018
Network Analysis in R: Centrality Measures
Explore the definition of centrality, learn what different types of centrality measures exist in network analysis and pick the best one for a given network!
Minoo Ashtiani
17 de abril de 2018
Logistic Regression in R Tutorial
Discover all about logistic regression: how it differs from linear regression, how to fit and evaluate these models it in R with the glm() function and more!
Vidhi Chugh
17 de março de 2023
Getting Started with the Tidyverse: Tutorial
Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!
Hugo Bowne-Anderson
10 de abril de 2018
Tidy Sentiment Analysis in R
Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!
Debbie Liske
29 de março de 2018
K-Means Clustering in R Tutorial
Learn what k-means is and discover why it’s one of the most used clustering algorithms in data science
Eugenia Anello
21 de março de 2023
Feature Selection in R with the Boruta R Package
Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!
DataCamp Team
7 de março de 2018
Web Scraping in R: rvest Tutorial
Explore web scraping in R with rvest with a real-life project: extract, preprocess and analyze Trustpilot reviews with tidyverse and tidyquant, and much more!
Arvid Kingl
27 de fevereiro de 2018
Ensemble Learning in R with SuperLearner
Boost your machine learning results and discover ensembles in R with the SuperLearner package: learn about the Random Forest algorithm, bagging, and much more!
Daniel Gremmell
20 de fevereiro de 2018
Understanding Blockchains by Coding One in R
Implement a small blockchain in R and learn more about what a blockchain looks like and some of the core concepts behind it!
Johannes Mueller
8 de fevereiro de 2018
Lyric Analysis with NLP & Machine Learning with R
Dive into the lyrics of Prince's music with R: use text mining and Exploratory Data Analysis (EDA) to shed insight on The Artist's career.
Debbie Liske
2 de fevereiro de 2018
Five Tips to Improve your R Code
Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more!
Simon Jackson
13 de dezembro de 2017