In this project, we compare three methods : Lasso, OMP and FoBa.
The main goal is learning spare represantations using greedy algorithms (especially the FoBa algorithm).
We will use 2 different data sets : Boston Housing & Ionosphere.
The presentation is available here : https://youtu.be/gxpo0DwrUjk
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