An Introduction to Statistical Learning with Applications in R

Book Details
Author | Gareth James • Daniela Witten • Trevor Hastie Robert Tibshirani |
---|---|
Publisher | Springer |
Published Year | 1905 |
Pages | 440 |
Language | English |
ISBN-10 | 1071614177 |
ISBN-13 | 978-1071614174 |
An Introduction to Statistical Learning with Applications in R is a widely acclaimed textbook by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. It provides a clear and accessible introduction to statistical and machine learning techniques, with a strong focus on practical applications using the R programming language. The book covers key topics such as linear regression, classification, resampling methods, model selection, and more, making it ideal for beginners and practitioners in data science and statistics.

Prepare for Interview
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
- Multithreading and Multiprocessing in Python
- Context Managers in Python
- Decorators in Python
- Generators in Python
- Requests in Python
- Django
Tutorials
Follow us on Linkedin
Random Blogs
- Understanding Data Lake, Data Warehouse, Data Mart, and Data Lakehouse – And Why We Need Them
- Downlaod Youtube Video in Any Format Using Python Pytube Library
- OLTP vs. OLAP Databases: Advanced Insights and Query Optimization Techniques
- Loan Default Prediction Project Using Machine Learning
- Understanding OLTP vs OLAP Databases: How SQL Handles Query Optimization
- 5 Ways Use Jupyter Notebook Online Free of Cost
- Ideas for Content of Every niche on Reader’s Demand during COVID-19
- Avoiding the Beginner’s Trap: Key Python Fundamentals You Shouldn't Skip
- SQL Joins Explained: A Complete Guide with Examples
- How AI is Making Humans Weaker – The Hidden Impact of Artificial Intelligence
- Big Data: The Future of Data-Driven Decision Making
- Why to learn Digital Marketing?
- Extract RGB Color From a Image Using CV2
- Mastering SQL in 2025: A Complete Roadmap for Beginners
- Python Challenging Programming Exercises Part 2
- Deep Learning (DL): The Core of Modern AI
Datasets for Machine Learning
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset
- Artificial Characters Dataset