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Hướng dẫn lập trình R
Trong các hướng dẫn R của chúng tôi, bạn sẽ tìm thấy mẹo hữu ích và tình huống sử dụng để nâng cao kỹ năng lập trình. Chúng tôi sẽ cập nhật cho bạn những kỹ thuật mới nhất.
Công nghệ khác:
Đào tạo từ 2 người trở lên?Hãy thử DataCamp for Business
GFLASSO: Graph-Guided Fused LASSO in R
Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!
Francisco Lima
26 tháng 4, 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 tháng 4, 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 tháng 3, 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 tháng 4, 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 tháng 3, 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 tháng 3, 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 tháng 3, 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 tháng 2, 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 tháng 2, 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 tháng 2, 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 tháng 2, 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 tháng 12, 2017