Difference between revisions of "Data Science"
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==Anaconda== | ==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) | 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) | ||
Revision as of 22:32, 17 August 2018
Contents
Remote development
https://us.informatiweb.net/tutorials/it/6-web/148--eclipse-connect-to-a-remote-file-system.html
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
