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