What are the applications of sets in data science?
Sets are fundamental in data science for operations like data cleaning, deduplication, and managing unique values.
Can you give me an example of how sets are used in data cleaning?
Sure! When cleaning data, sets can help identify and remove duplicate entries, ensuring each record is unique.
What about in machine learning? How are sets applied there?
In machine learning, sets are used for feature selection, where unique features are identified to improve model performance.
Are there any specific libraries in Python that utilize sets?
Yes, Python's built-in set data type is widely used, and libraries like Pandas also leverage sets for operations like merging data.
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