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Regression Analysis with Python

You're reading from   Regression Analysis with Python Discover everything you need to know about the art of regression analysis with Python, and change how you view data

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785286315
Length 312 pages
Edition 1st Edition
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Authors (2):
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Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
Alberto Boschetti Alberto Boschetti
Author Profile Icon Alberto Boschetti
Alberto Boschetti
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Table of Contents (11) Chapters Close

Preface 1. Regression – The Workhorse of Data Science 2. Approaching Simple Linear Regression FREE CHAPTER 3. Multiple Regression in Action 4. Logistic Regression 5. Data Preparation 6. Achieving Generalization 7. Online and Batch Learning 8. Advanced Regression Methods 9. Real-world Applications for Regression Models Index

Chapter 2. Approaching Simple Linear Regression

Having set up all your working tools (directly installing Python and IPython or using a scientific distribution), you are now ready to start using linear models to incorporate new abilities into the software you plan to build, especially predictive capabilities. Up to now, you have developed software solutions based on certain specifications you defined (or specifications that others have handed to you). Your approach has always been to tailor the response of the program to particular inputs, by writing code carefully mapping every single situation to a specific, predetermined response. Reflecting on it, by doing so you were just incorporating practices that you (or others) have learned from experience.

However, the world is complex, and sometimes your experience is not enough to make your software smart enough to make a difference in a fairly competitive business or in challenging problems with many different and mutable facets.

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Regression Analysis with Python
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Regression Analysis with Python
Published in: Feb 2016
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ISBN-13: 9781785286315
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