Difference between revisions of "Python for Data Science"

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'''Sentiment Analysis Applications'''
 
* https://www.csc2.ncsu.edu/faculty/healey/tweet_viz/tweet_app/
 
 
* https://vimeo.com/andreitr
 
 
* https://www.softwareadvice.com/resources/free-twitter-sentiment-analysis-tools/
 
 
* https://blog.flexmr.net/making-sense-of-big-qual-7-of-the-best-text-and-sentiment-analysis-tools
 
 
 
'''Mapas'''
 
* https://www.amcharts.com/demos/multi-series-map/
 
 
 
'''Sentiment analysis with Python'''
 
* https://www.udemy.com/course/data-science-natural-language-processing-in-python/
 
 
* https://www.udemy.com/course/sentiment-analysis-deep-learning-keras-python/
 
 
* https://www.udemy.com/course/natural-language-processing-with-deep-learning-in-python/
 
 
 
'''Back-end - Flask - DJango'''
 
* https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
 
 
* https://www.udemy.com/course/python-rest-apis-with-flask-docker-mongodb-and-aws-devops/
 
 
* https://www.udemy.com/course/rest-api-flask-and-python/
 
 
* https://www.udemy.com/course/react-django-full-stack/
 
 
* https://www.udemy.com/course/introduction-to-tweepy-python-twitter-library/
 
 
* https://www.udemy.com/course/introduction-to-tweepy-python-twitter-library-part-2/
 
 
* https://www.udemy.com/course/python-bot-development/
 
 
 
'''Predicting elections with sentiment analysis'''
 
* https://medium.com/@stefanobosisio1/sentiment-analysis-to-predict-political-elections-outcome-506284890132
 
 
* https://ricochet.com/565273/archives/predicting-elections-using-a-i-and-machine-learning/
 
 
* https://link.springer.com/article/10.1007/s40092-017-0238-2
 
 
* https://pdfs.semanticscholar.org/fd8b/8e5d4ae127afc71437d39881d69d963ed80a.pdf
 
 
* https://medium.com/analytics-vidhya/twitter-sentiment-analysis-for-the-2019-election-8f7d52af1887
 
 
* https://www.researchgate.net/publication/280623314_The_machine_learning_in_the_prediction_of_elections
 
 
 
 
==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 23:41, 5 October 2019

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)

Installation

https://www.anaconda.com/download/#linux

https://linuxize.com/post/how-to-install-anaconda-on-ubuntu-18-04/

https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-18-04