Statistics for topic data-science
RepositoryStats tracks 579,129 Github repositories, of these 2,095 are tagged with the data-science topic. The most common primary language for repositories using this topic is Python (740). Other languages include: Jupyter Notebook (603), R (75), HTML (68), JavaScript (51), TypeScript (46), Go (38), C++ (34), Java (22), Rust (21)
Stargazers over time for topic data-science
Most starred repositories for topic data-science (view more)
Trending repositories for topic data-science (view more)
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A roadmap to guide you through mastering SQL for Data Science in just 6 weeks for free
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A roadmap to guide you through mastering SQL for Data Science in just 6 weeks for free
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Automated, smooth, N'th order derivatives of non-uniformly sampled time series data
A roadmap to guide you through mastering SQL for Data Science in just 6 weeks for free
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
The book every data scientist needs on their desk.
Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
Automated, smooth, N'th order derivatives of non-uniformly sampled time series data
AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
Visual Data Transformation with Python Code Generation. Low-Code Python-based ETL.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache Superset is a Data Visualization and Data Exploration Platform
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Streamlit — A faster way to build and share data apps.
ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<MLRun | solution>
2025 AI/ML internship & new graduate job list updated daily
MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.
Chat with your data, modify it, visualize it, create and test machine learning models all in plain English. DataHorse makes data analysis and data science conversational using LLMs.