data-science

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Interactive network visualization in Python and Dash, powered by Cytoscape.js

Build 12 Data Apps in Python with Streamlit

Code repository for the book SQL for Data Analysis

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

Plotlars is a Rust library designed to facilitate the integration between the Polars data analysis library and Plotly library.

Access and analyze historical weather and climate data with Python.

🎨 Toolkit for generating publication-quality plots for Cell, Nature and Science journals

Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

A repository of pretty cool datasets that I collected for network science and machine learning research.

Complete-Life-Cycle-of-a-Data-Science-Project

The premier open source Data Quality solution

oneAPI Data Analytics Library (oneDAL)

Course materials for: Geospatial Data Science

Generalized linear models in Julia

Home assignments for data science positions

Second Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

If you're coming from one of my data science tutorials, you'll find the code and the links to the tutorials here. I hope you find them helpful. Happy learning and coding!

Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Resumable Polymarket indexer: CLOB market metadata plus on-chain trades from Polygon, in one DuckDB file you can query with SQL

Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises

🐟 A Swiss-Army Knife for Data I/O

Cursos completos de IA dictados por Humai

Learn Machine Learning with Amazon ML Summer School Program 2026. Access session summaries, previous year MCQs, programming questions, and official test material. Practice module-wise coding tasks and build a strong foundation for interviews and real-world applications.