This repository is dedicated to the lab activities of the course of Unsupervised Learning of the Master's degree in Data Science and Artificial Intelligence @UniTs.
Professor: Alex Rodriguex
Tutor: Ilaria Vascotto
- Introduction to Pandas and Data Preprocessing
- Lab 1: Data Generation and Visualization (sol)
- Lab 2: Principal Component Analysis (sol)
- Lab 3: Isomap (sol - class discussion notes)
- Lab 4: Kernel PCA (sol)
- Lab 5: Recap on Dimensionality Reduction Techniques (sol - autoencoder notebook)
- Lab 6: Intrinsic Dimension and Density Estimation (sol)
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Lab 7:
$k$ -means (sol) -
Lab 8:
$k$ -medoids and$c$ -means (sol) - Lab 9: Hierarchical and Spectral Clustering (sol)
- Lab 10: Final Lab (sol)