Difference between revisions of "Data Science"

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==Remote development==
 
==Remote development==
 
https://us.informatiweb.net/tutorials/it/6-web/148--eclipse-connect-to-a-remote-file-system.html
 
https://us.informatiweb.net/tutorials/it/6-web/148--eclipse-connect-to-a-remote-file-system.html
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https://stackoverflow.com/questions/32747819/remote-java-development-using-intellij-or-eclipse
  
 
==Anaconda==
 
==Anaconda==

Revision as of 18:10, 19 August 2018

Remote development

https://us.informatiweb.net/tutorials/it/6-web/148--eclipse-connect-to-a-remote-file-system.html

https://stackoverflow.com/questions/32747819/remote-java-development-using-intellij-or-eclipse

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

https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-16-04

Jupyter Notebook

https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook

Cursos

https://eu.udacity.com/

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