Leon Kaganovskiy

Gebundenes Buch

Applied Statistics with Python

Volume II: Multivariate Models

Beschreibung

This book 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.

Autor

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.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 336
• Erscheinungstermin: 26. Dezember 2025
• Englisch
• ISBN-13: 9781041006251
• ISBN-10: 104100625X
• Artikelnr.: 74853232