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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

🧱 Describe your site, AI builds it, you own it as Markdown. Snap together Tailwind blocks like Lego — landing pages, blogs, portfolios, docs & more. No AI slop. Free to deploy anywhere 👇

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.

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

An implementation of the Grammar of Graphics in R

A curated list of awesome R packages, frameworks and software.

📚 Parameterize, execute, and analyze notebooks

Easy interactive web applications with R

中国的Quant相关资源索引

R for data science: a book

dplyr: A grammar of data manipulation

Realtime Web Apps and Dashboards for Python and R

AIPOCH Open-Science is an open-source, local-first, model-agnostic AI research workbench for macOS, Windows, and Linux, with scientific agents, Python/R notebooks, data connectors, and reproducible provenance.

A curated list of awesome responsible machine learning resources.

Data Science at the Command Line

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Carefully curated resource links for data science in one place

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.

Dynamic Documents for R

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

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.

Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。