33 repos
Libraries, frameworks, and educational resources for data analysis, visualization, and machine learning in Python. This cluster centers on core tools like pandas, scikit-learn, and Streamlit for working with dataframes, building ML models, and creating interactive data applications. You'll find beginner-friendly learning materials, specialized data enrichment tools, and production-ready frameworks that form the foundation of modern Python data science workflows.
ml-tooling/ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.