December 2015
Beginner to intermediate
202 pages
4h
English
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Chapter 4. Performing Data Analysis for Non Data Analysts
Now that we know what we are working with, it is time to gain insights from the data using analysis. In this chapter, we will look at two types of analysis—statistical (what happened) and predictive (what could happen). You will learn how to perform the following:
- Statistical analysis
- Performing a distribution analysis
- Performing a categorical variable analysis
- Performing a linear regression
- Performing a time-series analysis
- Performing outlier detection
- Predictive analysis
- Creating a predictive model using logistic regression
- Creating a predictive model using random forest
- Creating a predictive model using Support Vector Machines
- Saving the results of your analysis
- Saving the results of your analysis ...
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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.
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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.