Ridge Regression: A Lifeline for Overfit Models
Introduction: The Struggle of a Perfect Fit. Imagine you’re an artist painting a landscape. You want your painting to look realistic, but as you focus on every tiny detail, your work starts to feel cluttered and unnatural. In the world of machine learning, this problem is called overfitting — when a model tries too hard to match the training data, it loses its ability to generalize to new data.
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Introduction: The Struggle of a Perfect Fit
Imagine you’re an artist painting a landscape. You want your painting to look realistic, but as you focus on every tiny detail, your work starts to feel cluttered and unnatural. In the world of machine learning, this problem is called overfitting — when a model tries too hard to match the training data, it loses its ability to generalize to new data.
