This is the homepage for the Collaboratory Workshop, Machine Learning with Python. I will be updating this website after the workshop is finished to fix any problems we may have found in the slides, and post the videos of each the three days. This workshop is offered by the QCBio Collaboratory (UCLA).
For complete information about the workshop, please access our Wiki Page or use the table of contents below.
Prior the beginning of the course, you need to install the Anaconda distribution that contains Python and all the libraries needed for the workshop. You can find help to the installation by reviewing these slides.
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Day 1 - Jupyter and Machine Learning
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Day 2 - Classification and performance
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Day 3 - Cross-validation and regression
There are several ways you can contact us:
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You can use the Issues Page of this repository to post questions, comments and suggestions. These will be visible to everyone.
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You can contact me, Renaud, directly.
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Also, check out the QCBio Collaboratory for more information and other workshops available to the UCLA community.
This material is shared under the GNU General Public License v3.0, please take a moment to read it. Permissions of this copyleft license are conditioned on making available complete source code of licensed works and modifications, which include larger works using a licensed work, under the same license. Copyright and license notices must be preserved. Contributors provide an express grant of patent rights.
Workshop - Machine Learning with Python
Copyright (C) 2018 Reanud Dessalles
Copyright (C) 2017 Thiago Schiavo Mosqueiro
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