R is a free programming language and software environment for statistical computing and graphics.
There are 41,670 repositories under r topic.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
List of Data Science Cheatsheets to rule the world
🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站!
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
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
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
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 curated list of R tutorials for Data Science, NLP and Machine Learning