November 2018
Beginner to intermediate
420 pages
10h 4m
English
book
Hands-On Data Science with R
by Doug Ortiz, Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
Content preview from Hands-On Data Science with R
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Linear regression with R
Linear regressions are traditional statistical models. Regressions are meant to understand how two or more variables are related and/or to make predictions. Taking limitations into account, regressions may answer questions such as: How does the National Product respond to government expenditure in the short run? or What should be the expected revenue for next year?
Of course, there are drawbacks. An obvious one is that linear regression is only meant to grasp linear relations. Plotting variables ahead may give you hints on linearity—sometimes, you can turn things around with data transformation. Note that a relation does not necessarily imply causation.
A strong relation (correlation) could also result from coincidence ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.