Applied Statistics with Python: Volume II: Multivariate Models - Leon Kaganovskiy
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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.
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Aprašymas
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.
Vairāk informācijas
| Autors | Leon Kaganovskiy |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2025 |
| Vāka tips | Cietais vāks |
| EAN | 9781041006251 |