Regression Analysis with Classical and Statistical Learning Methods : An Easy Guide for Data Scientists, Business Analysts and Engineers using Python

Language: English

Published by Academic Enclave, 2025

9348642510 / 9789348642516

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Regression is a powerful technique in data analysis for modeling relationships between variables, making it crucial for prediction, decision-making, and pattern recognition. This book offers an accessible introduction to regression modeling, tailored for postgraduate students in fields such as data science, engineering, statistics, mathematics, business, and the sciences. It simplifies complex mathematical concepts and emphasizes real-world applications, complemented by coding examples to reinforce key concepts.The book covers classical regression methods including simple and multiple linear regression, polynomial regression, and logistic regression. It also addresses regression diagnostics, such as model evaluation, outlier detection, and assessment of model assumptions. By integrating classical methods with modern machine learning techniques, it offers a unique perspective. Machine learning techniques like support vector regression, decision trees, and artificial neural networks (ANN) for regression tasks are introduced, demonstrating their complementarity to classical methods through practical examples. The book also explores advanced methods such as Ridge, Lasso, Elastic Net, Principal Component Regression, and Generalized Linear Models (GLMs). These techniques are demonstrated using Python libraries like Statsmodels and Scikit-learn, enabling students to engage in practical learning.…

Seller Inventory # 9789348642516

Title
Regression Analysis with Classical and Statistical Learning Methods : An Easy Guide for Data Scientists, Business Analysts and Engineers using Python
Author
K C James
Publisher
Academic Enclave
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9348642510
ISBN 13
9789348642516
Item weight
935 grams
Dimensions
254x178x27 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.81US$ 51.18
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