A dataset in Python refers to a structured collection of data, organized for analysis, manipulation, and visualization.
Datasets are a fundamental component in data science and machine learning workflows, providing raw material for building models and extracting insights.
Datasets in Python are often represented using libraries like Pandas for DataFrames or NumPy arrays, enabling efficient data handling and manipulation.
Common examples of datasets include the Iris dataset, MNIST dataset, ImageNet dataset, Diabetes dataset, and IMDB dataset, each serving different purposes in machine learning and data analysis tasks.