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

Build, Manage and Deploy AI/ML Systems

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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.

📚 Parameterize, execute, and analyze notebooks

Easy interactive web applications with R

dplyr: A grammar of data manipulation

R for data science: a book

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