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Data Science Algorithms in a Week

You're reading from   Data Science Algorithms in a Week Top 7 algorithms for scientific computing, data analysis, and machine learning

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789806076
Length 214 pages
Edition 2nd Edition
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Authors (2):
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David Toth David Toth
Author Profile Icon David Toth
David Toth
David Natingga David Natingga
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David Natingga
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Table of Contents (12) Chapters Close

Preface 1. Classification Using K-Nearest Neighbors 2. Naive Bayes FREE CHAPTER 3. Decision Trees 4. Random Forests 5. Clustering into K Clusters 6. Regression 7. Time Series Analysis 8. Python Reference 9. Statistics 10. Glossary of Algorithms and Methods in Data Science
11. Other Books You May Enjoy

Regression

Regression analysis is the process of estimating the relationship between dependent variables. For example, if a variable y is linearly dependent on variable x, then regression analysis tries to estimate the constants a and b in the equation , which  expresses the linear relationship between the variables y and x.

In this chapter, you will learn about the following topics:

  • The core idea of regression by performing a simple linear regression on the perfect data from first principles in a Fahrenheit and Celsius conversion example 
  • Performing linear regression analysis by using the least squares method from the  scipy.linalg Python library on perfect and real-world data in the examples of Fahrenheit and Celsius conversion, weight prediction based on height, and flight time duration prediction based on distance
  • The gradient descent algorithm...
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