An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
by Jonathan Taylor, Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
An accessible guide to statistical learning methods with hands-on Python applications for students and practitioners.
About This Book
This book presents core statistical learning techniques and demonstrates their implementation in Python.
It covers supervised and unsupervised learning approaches commonly used in data analysis.
The text is designed for readers seeking both theoretical understanding and practical coding skills.
Examples and exercises help reinforce key concepts throughout each chapter.
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