Answer Posted / Sandip Kumar Tiwari

A dataset in machine learning is a collection of data used to train and evaluate models. It consists of two main components: features (or input variables) and labels (or output variables). Datasets can come from various sources, such as real-world observations, experiments, or simulations.

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