LINEAR MODELS WITH PYTHON (Chapman & Hall/CRC Texts in Statistical Science) [Hardcover] Faraway, Julian J.

Book Details
• Book Name: Linear Models with Python
• Author: Julian J. Faraway
• Edition: 1st Edition
• Format: Paperback (Import)
• Language: English
• ISBN-13: 9781138483958
• Publisher: CRC Press
• Pages: 308
• Release Date: 23-12-2020
• Dimensions: 9.5 x 6.4 x 0.9 inches

About The Book
"Linear Models with Python" by Julian J. Faraway is an essential resource for anyone looking to understand and apply linear models in data science, engineering, social sciences, and beyond. This book brings linear modeling into the realm of Python, a powerful, multi-faceted programming language increasingly used in data science and machine learning. Unlike its R counterpart, this book replaces R code with Python, making the material accessible to a broader audience, including those with backgrounds in machine learning, statistics, and other computational disciplines.

The book is well-structured, making complex topics approachable. It covers key concepts like model selection, shrinkage, experiments with blocks, missing data, and various other essential topics in linear modeling. Faraway's experience shines through in his ability to explain these concepts clearly, providing a solid foundation for both beginners and seasoned practitioners.

With plenty of examples and Python code demonstrations, the book ensures readers can easily apply linear models to real-world data. An appendix on Python for beginners makes it easier for those new to the language to grasp the essentials.

This book is perfect for students taking linear models or linear regression courses, as well as anyone interested in applying linear modeling techniques in their own work. It also provides an insightful perspective for machine learning professionals looking to expand their knowledge of statistical methods.