Welcome to ISLP documentation!#
ISLP is a Python library to accompany Introduction to Statistical Learning with applications in Python. See the statistical learning homepage for more details.
See the ISLP reference
Contents#
- Install instructions
- Installing
ISLP
- Google Colab
- Datasets used in ISLP
- Auto Data
- Bike sharing data
- Boston Data
- Brain Cancer Data
- Caravan
- Sales of Child Car Seats
- U.S. News and World Report’s College Data
- Credit Card Balance Data
- Credit Card Default Data
- Fund Manager Data
- Baseball Data
- Khan Gene Data
- NCI 60 Data
- New York Stock Exchange Data
- Orange Juice Data
- Portfolio Data
- Time-to-Publication Data
- S&P Stock Market Data
- Violent Crime Rates by US State
- Mid-Atlantic Wage Data
- Weekly S&P Stock Market Data
- Transforms for flexible features
- Tools for regression models
- Helper functions
- Labs
- Package versions
- Introduction to Python
- Linear Regression
- Logistic Regression, LDA, QDA, and KNN
- Cross-Validation and the Bootstrap
- Linear Models and Regularization Methods
- Non-Linear Modeling
- Tree-Based Methods
- Support Vector Machines
- Deep Learning
- Survival Analysis
- Unsupervised Learning
- Multiple Testing
- Package versions
- Creating IMDB dataset from
keras
version