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  1. Tutorial on scikit-learn and IPython for parallel machine learning

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  2. Some sample IPython notebooks for scikit-learn

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  3. Apache Pig utilities to build training corpora for machine learning / NLP out of public Wikipedia and DBpedia dumps.

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  4. Experimental Gradient Boosting Machines in Python with numba.

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  5. Demo project for building Python wheels with appveyor.com

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  6. Experimental docker-compose setup to bootstrap distributed on a docker-swarm cluster.

    Shell 92 29

Contribution activity

October 2020

Created a pull request in INRIA/scikit-learn-mooc that received 5 comments

Fixes and improvements for the CV notebook

@glemaitre I started to do a pass. Have a quick glance at the diff but I would be in favor in quick merge and iterate.

+193 −95 5 comments

Created an issue in conda-forge/scipy-feedstock that received 11 comments

conda install -c conda-forge scipy blas=*=openblas installs the netlib version of libcblas and libblas on macOS

Steps to reproduce on macOS: $ conda create -y -n tmp -c conda-forge scipy blas=*=openblas $ conda list -n tmp # packages in environment at /Users/…

11 comments

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