April 2015
Beginner
258 pages
5h 48m
English
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Selected graphical examples with pandas
Though many machine learning algorithms, with appropriately set hyper-parameters, can optimally learn how to map your data with respect to your target outcome, their performance can be further improved by knowing about hidden and subtle problems in data. It is not simply a matter of detecting any missing or outlying case. Sometimes, it is paramount to clarify whether there are any groups or unusual distributions in the data(for instance, multimodal distributions). Clear data plots that explicate the relationship between variables can also lead to the creation of newer and better features that can predict more than the existing ones.
The practice that was just described is called Explorative Data Analysis, ...
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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.