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Gigaversity

Gigaversity.in • 1d

Overfitting, underfitting, and fitting — these aren't just technical terms, but critical checkpoints in every machine learning workflow. Understanding these concepts is key to evaluating model behavior, improving generalization, and building solutions that perform reliably on unseen data. Whether you're training your first model or fine-tuning a deep learning pipeline, recognizing the signs of poor fitting can save time, resources, and performance. Have you encountered these challenges in your ML journey? Share your thoughts or experiences in the comments

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