Regression Analysis with Classical and Statistical Learning Methods

Language: English

Published by Academic Enclave Mär 2025, 2025

9348642510 / 9789348642516

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This item is printed on demand - Print on Demand Titel. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 502 pp. Englisch.…

Seller Inventory # 9789348642516

Title
Regression Analysis with Classical and Statistical Learning Methods
Author
K C James
Publisher
Academic Enclave Mär 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9348642510
ISBN 13
9789348642516
Item weight
935 grams
Dimensions
254x178x27 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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