Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers Principal Component Analysis (PCA) and Kernel PCA, explaining how PCA is used to eliminate dimensions by finding the principal components with the most variation. It also delves into the comparison between PCA and Kernel PCA, showcasing how Kernel PCA projects data into a higher-dimensional space to make it linearly separable.