ipython-notebooks
A collection of IPython notebooks containing machine learning experiments and examples using scikit-learn and related Python libraries.
What is ipython-notebooks?
ogrisel/notebooks is a collection of IPython notebooks containing machine learning experiments and examples primarily using scikit-learn and related Python data science libraries. It provides practical demonstrations of ML techniques and serves as a resource for learning and experimentation. The notebooks document various ML-related explorations that can be executed in standard Python data science environments.
Data scientists, machine learning practitioners, and students looking for practical examples of scikit-learn applications and ML experimentation workflows. It's particularly useful for those learning how to implement ML algorithms in Jupyter notebooks.
This collection offers real-world ML experiment examples rather than polished tutorials, providing insight into practical experimentation workflows. The Binder integration allows immediate execution without local setup, making it accessible for quick exploration and learning.
Overview
Some sample IPython notebooks for scikit-learn
Use Cases
Best For
- Learning scikit-learn through practical examples
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