Patterns
In Data Science, patterns refer to the regularities or recurring trends found in data. These patterns can be identified through various techniques such as data mining, machine learning, and statistical analysis. Patterns can be used to make predictions, classify data, and gain insights into the underlying processes that generate the data. Patterns can be simple or complex, and can be found in various types of data such as time series, images, text, and graphs. The ability to identify and interpret patterns is a crucial skill in Data Science, as it allows for the development of models that can be used to make informed decisions and solve complex problems.
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