May 2018
Beginner to intermediate
364 pages
7h 43m
English
Content preview from Hands-On Data Science with Anaconda
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Summary
In this chapter, we have discussed various types of visual presentation, which included simple graphs, bar charts, pie charts, and histograms written in different languages such as R, Python, and Julia. Visual presentations can help our audience understand our data better. For many complex concepts or theories, we can use visual presentations to help explain their logic and complexity. A typical example is the so-called bisection method or bisection search.
In the next chapter, we will explain many important issues related to statistics, such as the T-distribution, F-distribution, T-test, F-test, and other hypothesis tests. We will also discuss how to run a linear regression, how to deal with missing data, how to treat outliers, how ...
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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.