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.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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
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Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
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.
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
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
A curated list of awesome R packages, frameworks and software.
中国的Quant相关资源索引
Realtime Web Apps and Dashboards for Python and R
Created by Ross Ihaka, Robert Gentleman
Released August 1993