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| − | ==Remote development==
| + | ~ Migrated |
| − | https://us.informatiweb.net/tutorials/it/6-web/148--eclipse-connect-to-a-remote-file-system.html
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| − | ==Anaconda==
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| − | Anaconda is a free and open source distribution of the Python and R programming languages for data science and machine learning related applications (large-scale data processing, predictive analytics, scientific computing), that aims to simplify package management and deployment. Package versions are managed by the package management system conda. https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)
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| − | ===Instalación===
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| − | https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-16-04
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| − | ===Jupyter Notebook===
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| − | https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook
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| − | ==Cursos==
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| − | https://eu.udacity.com/
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| − | https://classroom.udacity.com/courses/ud120
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| − | https://www.udemy.com/machine-learning-course-with-python/
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| − | https://stackoverflow.com/questions/19181999/how-to-create-a-keyboard-shortcut-for-sublimerepl
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| − | ===Curso Udacity===
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| − | La clasificación supervisada
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