An Introduction to Statistical Learning: with Applications in Python, 2023 Edition (ISBN 9783031387463)

An Introduction to Statistical Learning (ISL) is one of the most widely used textbooks for learning statistical modeling and machine learning. This 2023 Python Edition, authored by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, brings ISL’s clear explanations, intuitive approach, and practical examples fully into the Python ecosystem.

Product Details

• Title: An Introduction to Statistical Learning: with Applications in Python
• Edition: 2023 Edition
• Authors: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
• ISBN-13: 9783031387463
• Format: Paperback
• Price: $49.99
• Minimum Order: 5 Copies
• Availability: In Stock | Free Shipping

About This Book

This updated edition introduces statistical learning methods using Python, offering accessible explanations supported by visualizations, practical examples, and real datasets. It covers regression, classification, model selection, resampling, regularization, smoothing methods, tree-based models, support vector machines, and unsupervised learning.

Designed for both beginners and intermediate learners, the text balances mathematical clarity with hands-on implementation through Python libraries such as scikit-learn, pandas, and matplotlib.

Key Features

• Python-Focused Examples: Fully rewritten code using modern Python machine learning tools.
• Intuitive Explanations: Clear, non-technical introductions to statistical learning concepts.
• Practical Applications: Real-world datasets applied throughout the text.
• Extensive Visualizations: Graphs and plots that illustrate key ideas.
• Companion Resources: Online labs, datasets, and supporting materials.

Topics Covered

1. Introduction to Statistical Learning
2. Linear Regression and Classification
3. Resampling Methods and Cross-Validation
4. Regularization Techniques (Ridge, Lasso)
5. Non-linear Modeling and Splines
6. Tree-Based Methods and Random Forests
7. Support Vector Machines
8. Unsupervised Learning: PCA and Clustering

Who This Book Is For

• Data science students and instructors
• Machine learning practitioners
• Statisticians and analysts
• Python programmers entering ML
• Academic programs and bootcamps adopting ISL

Why Buy from BooksGoat?

• Free Shipping on all US orders
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Final Call – Order Now

An Introduction to Statistical Learning: with Applications in Python is an essential resource for mastering modern machine learning using Python. Order your minimum of 5 copies today with free shipping.