About R ProgrammingLearn More
R is a free software and programming language created by Ross Ihaka and Robert Gentleman in 1993. R has an extensive catalog of statistical and graphical methods. This software includes machine learning algorithms, linear regression, time series and statistical inference. Most R libraries are written in R, but for computationally heavy tasks, C, C++, and Fortran code are preferred.
R is not only taught academically, but many large companies use the R programming language, including Uber, Google, Airbnb, Facebook, and more.
Data analysis using R is done through the following steps: programming, transformation, discovery, modeling, and communication.
Programming: R is a simple and accessible programming tool.
Transform: R is built from a set of libraries designed specifically for data science.
Discovery: Examine the data, refine your hypothesis, and analyze it.
Modeling: R provides a wide range of tools to build a suitable model of your data.
Communicate: Combine code, graphs, and output with R Markdown reports or build R Shiny apps to share with the world
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Udemy
EDUCBA Bridging the Gap
Logistic Regression & Supervised Machine Learning with R 3:50:49
01/01/2024
Udemy
EDUCBA Bridging the Gap
Logistic Regression & Supervised Machine Learning with R 3:50:49
12/20/2023
Udemy
EDUCBA Bridging the Gap
Random Forest using R - Prediction of Employee Attrition 1:37:37
12/14/2023
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Udemy
Abdul Rehman Ikram
Cancer Biomarkers Discovery for Research papers in bioinfo 3:02:38
12/04/2023
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Udemy
Prince Patni
TIBCO Spotfire Development : Beginners To Advanced Course 4:02:27
English subtitles
11/29/2023
