Collection of various algorithms implemented in R.
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Updated
Mar 12, 2024 - R
Collection of various algorithms implemented in R.
A high-performance implementation of the R programming language, built on GraalVM.
Using workshop INT214 Statistics for Information Technology
Azure Databricks - Advent of 2020 Blogposts
Repository for the Data Science Professional Program from Harvard University on edX
Useless R Functions. That's it
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).
An R package for accessing elevation data
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
Urban Analytics Course work for Johns Hopkins Univeristy
Searching the best regression model using R (correlation filter, data scaling, best regression model, etc.)
This R package connects the Salesforce APIs from R using tidy principles.
Apache Spark for data engineers
Basic statistical modelling examples.
Kaggle Kernels (Python, R, Jupyter Notebooks)
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