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.

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microsoft / ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

python education data-science machine-learning r scikit-learn machine-learning-algorithms ml machinelearning machinelearning-python scikit-learn-python microsoft-for-beginners

Updated Mar 17, 2026
Jupyter Notebook

apache / spark

Apache Spark - A unified analytics engine for large-scale data processing

python java r scala sql big-data spark jdbc

Updated Mar 17, 2026
Scala

facebook / prophet

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

python r forecasting

Updated Mar 2, 2026
Python

lightgbm-org / LightGBM

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.

microsoft python machine-learning data-mining r parallel distributed kaggle gbdt gbm lightgbm gbrt decision-trees gradient-boosting

Updated Mar 15, 2026
C++

FavioVazquez / ds-cheatsheets

List of Data Science Cheatsheets to rule the world

python r programming spark jupyter datascience cheatsheet

Updated Jul 18, 2024

kanaka / mal

mal - Make a Lisp

Updated Oct 22, 2025
Assembly

HugoBlox / kit

⚡ The Open Research Copilot. Build high-perf Portfolios, Lab Sites & Docs in Markdown + Jupyter. 100% Data Control. 🦫 数据科学家的开源 Copilot。一键部署 👇

Updated Mar 13, 2026
HTML

catboost / catboost

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.

python data-science machine-learning data-mining tutorial r big-data gpu cuda kaggle gbdt gbm gpu-computing decision-trees gradient-boosting coreml catboost categorical-features

Updated Mar 16, 2026
C++

h2oai / h2o-3

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.