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

James V. Stone

ISBN 10: 191627918X / ISBN 13: 9781916279186

Published by Touchladybirdlucky Studios, 2022

About this Item

Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis | James V. Stone | Taschenbuch | Tutorial Introductions | Kartoniert / Broschiert | Englisch | 2022 | Touchladybirdlucky Studios | EAN 9781916279186 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 121205314

Bibliographic Details

• Title: Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis
• Publisher: Touchladybirdlucky Studios
• Publication Date: 2022
• Language: English
• ISBN 10: 191627918X
• ISBN 13: 9781916279186
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 8D millimeters 229 millimeters width by 152 millimeters height by 8 millimeters depth
• Weight: 195 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.