This book serves as a Python-centric version of ISLR, thanks to the contributions of a new co-author, Jonathan Taylor. It encompasses the same content as ISLR but integrates labs implemented in Python. A notable feature is the use of the ISLP Python package, designed to aid in executing the statistical learning methods detailed in each chapter. These labs cater to both Python beginners and seasoned users.
The core philosophy of ISLP (and ISLR) is to emphasize the practical applications of the methods rather than delving deep into the mathematical intricacies. This makes it an ideal read for advanced undergraduates or master’s students in statistics or related quantitative fields. Moreover, professionals from other disciplines seeking to harness statistical learning tools for data analysis will find it immensely beneficial.****
This book serves as a Python-centric version of ISLR, thanks to the contributions of a new co-author, Jonathan Taylor. It encompasses the same content as ISLR but integrates labs implemented in Python. A notable feature is the use of the ISLP Python package, designed to aid in executing the statistical learning methods detailed in each chapter. These labs cater to both Python beginners and seasoned users.
The core philosophy of ISLP (and ISLR) is to emphasize the practical applications of the methods rather than delving deep into the mathematical intricacies. This makes it an ideal read for advanced undergraduates or master’s students in statistics or related quantitative fields. Moreover, professionals from other disciplines seeking to harness statistical learning tools for data analysis will find it immensely beneficial.****