Applied Statistics with Python
Volume II: Multivariate Models
$334.31
- Hardcover
302 pages
- Release Date
28 December 2025
Summary
Applied Statistics with Python, Volume II focuses on ANOVA, multivariate models such as multiple regression, model selection, and reduction techniques, regularization methods like lasso and ridge, logistic regression, K-nearest neighbors (KNN), support vector classifiers, nonlinear models, tree-based methods, clustering, and principal component analysis.
As in Volume I, the Python programming language is used throughout due to its flexibility and widespread adoption in data science an…
Book Details
| ISBN-13: | 9781041006251 |
|---|---|
| ISBN-10: | 104100625X |
| Author: | Leon Kaganovskiy |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Hardcover |
| Number of Pages: | 302 |
| Release Date: | 28 December 2025 |
| Weight: | 730g |
| Dimensions: | 234mm x 156mm |
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About The Author
Leon Kaganovskiy
Leon Kaganovskiy is an Associate Professor at the Mathematics Department of Touro College. He received a M.S. in Theoretical Physics from Kharkov State University, and M.S. and PhD in Applied Mathematics from the University of Michigan. His most recent interest is in a broad field of Applied Statistics, and he has developed new courses in Bio-Statistics with R, Statistics for Actuaries with R, and Business Analytics with R. He teaches Statistics research courses at the Graduate Program in Speech-Language Pathology at Touro College.
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