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Data Science Books Github. A collection of free books from springer. This is great, but their web page for this is not super friendly, and expects you to download some excel sheet to figure out what they have on.
Data science in the cloud with microsoft azure machine learning and python. Instantly share code, notes, and snippets. It has sections on interacting with the twitter api from within r, text mining, plotting, regression as well as more complicated data mining techniques.
It covers concepts from probability, statistical inference, linear regression, and machine learning.
Data science broadly encompasses ideas and techniques, including machine learning and deep learning, to analyze data in a quantitative and systematic way to extract actionable insights. Intro to r [not really a tutorial, but there are some useful links here] Join millions of learners from around the world already learning on udemy! Some of my projects in this area can be seen at my github page , and below are a few specific projects with links.