R
Showing 36 of 40 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 automatic forecasting procedure for time series data with multiple seasonality and linear or non-linear growth.
An open-source forecasting tool 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.
Run code interactively, inspect data, and plot using Jupyter kernels directly inside the Atom text editor.
A curated list of practical resources for responsible machine learning, covering interpretability, governance, safety, and ethics.
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.
Create blogs and websites with R Markdown, integrating dynamic R code, graphics, and technical writing elements.
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.
An R package for creating, modifying, analyzing, and visualizing network graphs from tabular data.
A native R kernel for Jupyter notebooks, enabling R programming within the Jupyter ecosystem.
A comprehensive reference and interactive picker for all color palettes available in R packages.
A unified interface and infrastructure for machine learning in R, supporting classification, regression, clustering, and survival analysis.
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