R
Showing 36 of 155 projects
A 12-week, 26-lesson curriculum teaching classic machine learning using Scikit-learn through hands-on projects and quizzes.
A curated repository of resources, tutorials, libraries, and tools for learning and applying data science to real-world problems.
A top-down, hands-on daily study plan for software engineers transitioning into machine learning roles.
A scalable, portable, and distributed gradient boosting library for efficient machine learning across multiple languages and platforms.
A free, self-taught curriculum following undergraduate Data Science guidelines using MOOCs from top universities.
An open-source forecasting tool for time series data with multiple seasonality and linear or non-linear growth.
An automatic forecasting procedure for time series data with multiple seasonality and linear or non-linear growth.
A high-performance gradient boosting library with best-in-class handling of categorical features and support for CPU/GPU training.
A declarative graphics system for R that implements the Grammar of Graphics to create complex visualizations from data.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A Python tool for parameterizing, executing, and analyzing Jupyter Notebooks at scale.
An R package for building interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
An open-source book teaching data science using R, covering data import, transformation, visualization, and modeling.
A grammar of data manipulation for R, providing a consistent set of verbs to solve common data manipulation challenges.
Build realtime web apps and dashboards entirely in Python or R without HTML, JavaScript, or CSS.
A curated list of practical resources for responsible machine learning, covering interpretability, governance, safety, and ethics.
Run code interactively, inspect data, and plot using Jupyter kernels directly inside the Atom text editor.
An extensible open-source toolkit for detecting, mitigating, and explaining bias in machine learning datasets and models.
Feather is a binary columnar serialization format for data frames, enabling fast and interoperable data sharing between Python, R, and other languages.
An R package for creating interactive web graphics via the open-source JavaScript library plotly.js.
A comprehensive R package that simplifies and expedites common R package development tasks.
A general-purpose literate programming engine for dynamic report generation in R, designed to give users full control over output.
A modern R console with multiline editing, syntax highlighting, and improved REPL features.
An R package that extends ggplot2 to create publication-ready graphics with statistical details embedded directly in the plots.
An R package for creating publication-quality, information-rich tables with a cohesive and flexible API.
A curated collection of R tutorials, packages, and resources for Data Science, NLP, and Machine Learning.
An R package that extends ggplot2's grammar of graphics to create animated data visualizations.
A minimal benchmark comparing scalability, speed, and accuracy of popular open-source machine learning libraries for binary classification.
A meta-package for installing and loading core R packages for data science that share common design principles.
A collection of R packages for data science that share common design principles and work together seamlessly.
Create blogs and websites with R Markdown, integrating dynamic R code, graphics, and technical writing elements.
An R package for creating, modifying, analyzing, and visualizing network graphs from tabular data.
A comprehensive reference and interactive picker for all color palettes available in R packages.
A native R kernel for Jupyter notebooks, enabling R programming within the Jupyter ecosystem.
A unified interface and infrastructure for machine learning in R, supporting classification, regression, clustering, and survival analysis.
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