Difference between revisions of "Data Science"
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===Instalación=== | ===Instalación=== | ||
https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-16-04 | https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-16-04 | ||
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| + | ===Jupyter Notebook=== | ||
| + | https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook | ||
==Cursos== | ==Cursos== | ||
Revision as of 21:31, 17 August 2018
Anaconda
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)
Instalación
Cursos
https://classroom.udacity.com/courses/ud120
https://www.udemy.com/machine-learning-course-with-python/
https://stackoverflow.com/questions/19181999/how-to-create-a-keyboard-shortcut-for-sublimerepl
Curso Udacity
La clasificación supervisada
