What are the different types of datasets used in machine learning?

What are the different types of datasets used in machine learning?

In machine learning, datasets can be categorized into several types: structured, unstructured, semi-structured, and time-series.

Can you explain structured and unstructured datasets?

Structured datasets are organized in a fixed format, like tables with rows and columns. Unstructured datasets, on the other hand, include data that doesn't have a predefined structure, such as text, images, or videos.

What about semi-structured datasets?

Semi-structured datasets contain elements of both structured and unstructured data. They may have some organizational properties, like tags or markers, but lack a strict format, such as JSON or XML files.

And what are time-series datasets?

Time-series datasets are collections of data points indexed in time order, often used for forecasting and trend analysis.