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ipython-notebooks
Explore this repository of sample IPython notebooks for working with scikit-learn.
About ipython-notebooks
This repository provides sample IPython notebooks for working with scikit-learn. The collection contains mostly unfinished machine learning experiments, with examples covering text classification, clustering model selection, face recognition, learning to rank, and time series. Some notebooks can be executed in a basic numpy, scipy, pandas, matplotlib, and scikit-learn environment.
Key features
- Text classification example notebook
- Labeled Faces in the Wild recognition notebook
- Clustering model selection example notebook
- Learning to Rank and preprocessing notebooks
- Numpy introductory notebook
- Time series example notebook
Best for: Learners who want to study scikit-learn workflows through example IPython notebooks.
Good for
- Covers multiple machine learning topics in one collection
- Some notebooks run with a basic numpy, scipy, pandas, matplotlib, and scikit-learn setup
Watch out for
- Described as mostly unfinished machine learning experiments
ipython-notebooks at a glance
- Website
- github.com/ogrisel/notebooks
- Category
- AI & Machine Learning › AI for Education
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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