What is the purpose of feature selection in machine learning?

Hey everyone! So, I've been diving into machine learning lately and I keep hearing about this thing called feature selection. Can someone break down what it actually does? Like, why is it so important? I'm curious how it impacts the models we build and the results we get. Thanks!

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