Sample IPython 0.12+ notebooks for machine learning stuff

Screenshots

Install dependencies

sudo pip install -U tornado
sudo pip install -U pyzmq
sudo pip install -U git+https://github.com/ipython/ipython.git

Run the notebook

Then cd into this folder and run:

ipython notebook --pylab=inline

Then click on a notebook. The focus is on the first cell: hit Shift-Enter to execute the current cell an move on to the next. You can also click on Run > All in the left panel.

Name		Name	Last commit message	Last commit date
Latest commit History 110 Commits
letor_cluster		letor_cluster
representations		representations
screenshots		screenshots
sklearn_demos		sklearn_demos
.gitignore		.gitignore
Adjusted Variable Importances with Randomized Trees.ipynb		Adjusted Variable Importances with Randomized Trees.ipynb
Bootstrap.ipynb		Bootstrap.ipynb
Clustering Model Selection.ipynb		Clustering Model Selection.ipynb
Data Preprocessing for the Learning to Rank example.ipynb		Data Preprocessing for the Learning to Rank example.ipynb
Distributed Aggregate and Join.ipynb		Distributed Aggregate and Join.ipynb
Distributed Learning of Extra Trees with IPython.parallel.ipynb		Distributed Learning of Extra Trees with IPython.parallel.ipynb
Explained variances.ipynb		Explained variances.ipynb
Labeled Faces in the Wild recognition.ipynb		Labeled Faces in the Wild recognition.ipynb
Learning to Rank.ipynb		Learning to Rank.ipynb
MNIST8M Chunking and Upload to Cloud Blob Storage.ipynb		MNIST8M Chunking and Upload to Cloud Blob Storage.ipynb
Non IID cross-validation.ipynb		Non IID cross-validation.ipynb
Numa-aware computation experiments.ipynb		Numa-aware computation experiments.ipynb
Numba Parakeet Cython.ipynb		Numba Parakeet Cython.ipynb
Numpy intro.ipynb		Numpy intro.ipynb
Parameter search for Extra Trees on the MNIST classificationt task.ipynb		Parameter search for Extra Trees on the MNIST classificationt task.ipynb
Patch-Based Feature Extraction for Image Classification.ipynb		Patch-Based Feature Extraction for Image Classification.ipynb
README.md		README.md
SGD stuff.ipynb		SGD stuff.ipynb
Semi-supervised Extra Trees.ipynb		Semi-supervised Extra Trees.ipynb
Text Classification.ipynb		Text Classification.ipynb
Time Series.ipynb		Time Series.ipynb
Variable Importance with Completely Randomized Trees.ipynb		Variable Importance with Completely Randomized Trees.ipynb
cloudstorage.ini.example		cloudstorage.ini.example
nmf_topics.ipynb		nmf_topics.ipynb
structure_digits.ipynb		structure_digits.ipynb
ubuntu-quickstart.sh		ubuntu-quickstart.sh

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Sample IPython 0.12+ notebooks for machine learning stuff

Screenshots

Install dependencies

Run the notebook

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