Examples:
- Biclustering
- Calibration
- Classification
- Clustering
- Covariance estimation
- Cross decomposition
- Dataset examples
- Decision Trees
- Decomposition
- Ensemble methods
- Examples based on real world datasets
- Feature Selection
- Gaussian Mixture Models
- Gaussian Process for Machine Learning
- General examples
- Generalized Linear Models
- Manifold learning
- Model Selection
- Nearest Neighbors
- Neural Networks
- Preprocessing
- Semi Supervised Classification
- Support Vector Machines
- Tutorial exercises
- Working with text documents