R is a free programming language and software environment for statistical computing and graphics.
There are 41,183 repositories under r topic.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
List of Data Science Cheatsheets to rule the world
😍 EASILY BUILD THE WEBSITE YOU WANT - NO CODE, JUST MARKDOWN BLOCKS! 使用块轻松创建任何类型的网站 - 无需代码。 一个应用程序,没有依赖项,没有 JS
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.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
🛠 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.