Course description
Introduction to supervised and unsupervised machine learning algorithms. Applications in Python using scikit-learn
Syllabus
- Introduction to Machine Learning and to developement tools
- Feature selection and Manifold learning
- Classification algorithms
- Kernel methods for classification and regression
- Ensemble methods
- Hidden Markov Models