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Python: End-to-end Data Analysis

You're reading from   Python: End-to-end Data Analysis Leverage the power of Python to clean, scrape, analyze, and visualize your data

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Product type Course
Published in May 2017
Publisher Packt
ISBN-13 9781788394697
Length 931 pages
Edition 1st Edition
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Authors (5):
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Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
Phuong Vo.T.H Phuong Vo.T.H
Author Profile Icon Phuong Vo.T.H
Phuong Vo.T.H
Martin Czygan Martin Czygan
Author Profile Icon Martin Czygan
Martin Czygan
Magnus Vilhelm Persson Magnus Vilhelm Persson
Author Profile Icon Magnus Vilhelm Persson
Magnus Vilhelm Persson
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Chapter 4. Regression

Linear regression is part of the general introduction to experimental techniques; it forms the base for many of the scientific breakthroughs for the last few centuries. We made some short dives into linear regression before, looking at Hubble's law among other things. The previous chapter consisted of looking at distributions, which is an integral part of exploratory data analysis and indeed one of the first steps in gaining insights into the data. All of the things that we have gone through so far are, as you will see, useful in this chapter as well. You are strongly encouraged to experiment and try out these new things in combination with what was learned in the previous chapters. In this chapter, we will cover the following forms of regression:

  • Linear regression
  • Multiple regression
  • Logistic regression

In the simplest formulation, linear regression deals with estimating a variable from another variable. In multiple regression, a variable is estimated from...

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