Working With Sparse Features In Machine Learning Models

Sparse features can cause problems like overfitting and suboptimal results in learning models, and understanding why this happens is crucial when developing models. Multiple methods, including dimensionality reduction, are available to overcome issues due to sparse features.

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Working With Sparse Features In Machine Learning Models