Chapter 6: Applications to machine learning : supervised, unsupervised and generative methods
This gallery contains examples and tutorials for Chapter 6. The examples demonstrate how to use the CodPy library for various machine learning and regression tasks.
Each example includes code and outputs, such as plots or results, to help you understand how the library works.
Below are the examples for this chapter:
6.1 Supervised learning: reproducibility illustration with housing prices
6.1 Supervised learning: reproducibility illustration with housing prices
6.2 Supervised learning: benchmarks of methods with MNIST
6.2 Supervised learning: benchmarks of methods with MNIST
6.4 Unsupervised learning: Clustering - Fraud detection
6.4 Unsupervised learning: Clustering - Fraud detection
6.4.1 Generating complex distributions from celebA dataset
6.4.1 Generating complex distributions from celebA dataset
6.4.5 Conditioning on discrete distributions of celebA dataset
6.4.5 Conditioning on discrete distributions of celebA dataset
6.5 Unsupervised learning: Clustering - Stock Clustering
6.5 Unsupervised learning: Clustering - Stock Clustering
