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 (1194)
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 Java 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
⚡ Hugo Blox: Markdown sites in minutes. Academic/resume/lab/portfolio for AI researchers & startups. Premium templates. Deploy to GitHub Pages now in...
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...
An implementation of the Grammar of Graphics in R
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
📚 Parameterize, execute, and analyze notebooks
A curated list of awesome R packages, frameworks and software.
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
dplyr: A grammar of data manipulation
R for data science: a book
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
中国的Quant相关资源索引
Realtime Web Apps and Dashboards for Python and R
Data Science at the Command Line
A curated list of awesome responsible machine learning resources.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Carefully curated resource links for data science in one place
Dynamic Documents for R
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential...
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...
An interactive graphing library for R
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。
Time Series Forecasting Best Practices & Examples
Tools to make an R developer's life easier
A general-purpose tool for dynamic report generation in R
Advanced R: a book
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/
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Useful links, scripts, tools and best practice for Microsoft SQL Server Database
A 21 century R console
Enhancing {ggplot2} plots with statistical analysis 📊📣
Easily generate information-rich, publication-quality tables from R
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
A Wes Anderson color palette for R
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, S...
Study guides for MIT's 15.003 Data Science Tools
Templates for naming convention - TSQL, JavaScript, C#, R, Python, Powershell