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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
$83.92

An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)

An Introduction to Statistical Learning with Applications in Python (Paperback) - Explore statistical learning with this accessible guide by Daniela Witten, Gareth James, Jonathan Taylor, Robert Tibshirani, and Trevor Hastie.

This book uses Python examples and real-world applications to simplify complex topics like regression, classification, resampling methods, tree-based methods, support vector machines, and clustering. It's ideal for students and professionals seeking a solid foundation in statistical learning for data analysis and machine learning. Learn to implement these methods in Python and gain practical data insights.

ISBN: 9783031387470

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
$80.74

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Master statistical learning with The Elements of Statistical Learning, Second Edition by Friedman, Tibshirani, & Hastie. This comprehensive paperback guide covers data mining, inference, and prediction, ideal for students, researchers, and professionals. Explore linear regression, classification, neural networks, and real-world applications. ISBN: 9780387848587. Transform your approach to data analysis!