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portada Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis
Type
Physical Book
Author
Publisher
Language
English
Pages
140
Format
Paperback
Dimensions
22.9 x 15.2 x 0.8 cm
Weight
0.20 kg.
ISBN13
9781916279186
Categories

Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis

James V. Stone (Author) · Sebtel Press · Paperback

Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis - Stone, James V.

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Delivery: 20 Aug - 24 Aug Shipping: 4 to 5 business days.
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Synopsis "Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis "

Linear regression is the workhorse of data analysis. It is the first step, and often the only step, in fitting a simple model to data. This brief book explains the essential mathematics required to understand and apply regression analysis. The tutorial style of writing, accompanied by over 30 diagrams, offers a visually intuitive account of linear regression, including a brief overview of nonlinear and Bayesian regression. Hands-on experience is provided in the form of numerical examples, included as Python code at the end of each chapter, and implemented online as Python and Matlab code. Supported by a comprehensive glossary and tutorial appendices, this book provides an ideal introduction to regression analysis.

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