R is a free programming language and software environment for statistical computing and graphics.
There are 34,712 repositories under r topic.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Apache Spark - A unified analytics engine for large-scale data processing
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, classification and many other machine learning tasks.
List of Data Science Cheatsheets to rule the world
mal - Make a Lisp
🔥 Hugo website builder, Hugo themes & Hugo CMS. No code, easily build with blocks! 创建在线课程，学术简历或初创网站。#OpenScience
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
:rocket: Build and manage real-life data science projects with ease!
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.
An implementation of the Grammar of Graphics in R
A curated list of awesome R packages, frameworks and software.
📚 Parameterize, execute, and analyze notebooks
dplyr: A grammar of data manipulation
Data Science at the Command Line
Realtime Web Apps and Dashboards for Python and R
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A curated list of awesome machine learning interpretability resources.
Time Series Forecasting Best Practices & Examples
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.
Carefully curated resource links for data science in one place
An interactive graphing library for R
Tools to make an R developer's life easier
A general-purpose tool for dynamic report generation in R
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
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.
a curated list of R tutorials for Data Science, NLP and Machine Learning