Applied Statistics with Python: Two-Volume Set

The set focuses on applied and computational statistics, ANOVA, multivariate models like multiple regression, model selection, reduction techniques, regularization methods like lasso, ridge, logistic regression, K-nearest neighbors, support vector classifiers, nonlinear models, tree-based methods, clustering and principal component analysis.

• | Author: Leon Kaganovskiy
• | Publisher: Taylor & Francis Ltd
• | Publication Date: Dec 26, 2025
• | Number of Pages:
• | Language:
• | Binding: Multiple-component retail product
• | ISBN-13: 9781041191704
• | ISBN-10: 1041191707