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# Lab 4: Unsupervised Learning

In this lab session, we will focus on the unsupervised learning techniques covered in the course.

- [K-means](./k-means.ipynb)
- [PCA](./pca.ipynb)


### Learning goals

After this lab, you should be able to:

1. Identify different techniques to select the good K in K-means
2. Project data into a latent space and manipulate it 
3. Identify some of the advantages of dimensionality reduction (with linear PCA)