r
R is a free programming language and software environment for statistical computing and graphics. R has a wide variety of statistical linear and non-linear modeling and provides numerous graphical techniques.
Repositories (1225)
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Apache Spark - A unified analytics engine for large-scale data processing
Scalable datastore for metrics, events, and real-time analytics
Data Apps & Dashboards for Python. No JavaScript Required.
GraalVM compiles applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking,...
List of Data Science Cheatsheets to rule the world
mal - Make a Lisp
Build, Manage and Deploy AI/ML Systems
⚡ The Open Research Copilot. Build high-perf Portfolios, Lab Sites & Docs in Markdown + Jupyter. 100% Data Control. 🦫 数据科学家的开源 Copilot。一键...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learnin...
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Genera...
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
An implementation of the Grammar of Graphics in R
A curated list of awesome R packages, frameworks and software.
📚 Parameterize, execute, and analyze notebooks
Convert cURL commands to Python, JavaScript, Java, C#, PHP, Go, Dart, R, Ruby, Rust, MATLAB, Elixir, CFML, Ansible, Strest or JSON
Easy interactive web applications with R
中国的Quant相关资源索引
R for data science: a book
dplyr: A grammar of data manipulation
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Realtime Web Apps and Dashboards for Python and R
A curated list of awesome responsible machine learning resources.
Data Science at the Command Line
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Carefully curated resource links for data science in one place
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential...
Dynamic Documents for R
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zer...
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL loca...
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in d...
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
An interactive graphing library for R
Time Series Forecasting Best Practices & Examples
Tools to make an R developer's life easier
Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/
Advanced R: a book
A general-purpose tool for dynamic report generation in R
Useful links, scripts, tools and best practice for Microsoft SQL Server Database
A 21 century R console
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Enhancing {ggplot2} plots with statistical analysis 📊📣
Easily generate information-rich, publication-quality tables from R
A Wes Anderson color palette for R
A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
lists of most popular repositories for most favoured programming languages (according to StackOverflow)
a curated list of R tutorials for Data Science, NLP and Machine Learning
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau