R · GitHub Topics

microsoft / ML-For-Beginners

#新手入门#微软针对初学者的机器学习课程，课程分为12周，25课时。

机器学习数据科学 Python machinelearning-python scikit-learn scikit-learn-python R 教学 microsoft-for-beginners

HTML 72.7 k

9 天前

apache / spark

Apache Spark - 用于大数据处理的统一分析引擎

Python Scala R Java big-data jdbc SQL Apache Spark

Scala 41.31 k

1 天前

facebook / prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

forecasting R Python

Python 19.3 k

16 天前

microsoft / LightGBM

#计算机科学#LightGBM是一个基于决策树算法的分布式梯度提升框架（GBT、GBDT、GBRT、GBM或MART），用于排名、分类和许多其他机器学习任务。

gbdt gbm 机器学习 data-mining distributed lightgbm gbrt Microsoft decision-trees gradient-boosting Python R parallel kaggle

C++ 17.31 k

3 天前

FavioVazquez / ds-cheatsheets

#速查表 cheatsheets#有关数据科学的 Cheatsheets

datascience Python R Apache Spark 编程 Jupyter Notebook cheatsheet

15.44 k

1 年前

kanaka / mal

mal - Make a Lisp

mal Docker Lisp lisp-interpreter C Java JavaScript Python C++C#PHP Ruby R Swift Bash makefile Clojure Scala learn-to-code WebAssembly

Assembly 10.33 k

1 个月前

HugoBlox / hugo-blox-builder

#博客#🚨 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...

Hugo academic theme static-site-generator 内容管理系统 blog-engine github-pages Netlify page-builder website-builder rmarkdown rstudio R Jupyter Notebook documentation-tool open-science 数据科学 Portfolio blog

HTML 8.68 k

3 个月前

catboost / catboost

#计算机科学#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 computa...

机器学习 decision-trees gradient-boosting gbm gbdt Python R kaggle gpu-computing catboost 教程 categorical-features gpu coreml 数据科学 big-data CUDA data-mining

C++ 8.43 k

13 小时前

h2oai / h2o-3

#计算机科学#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-Me...