What is permutation and combination and how is it used in data science?

Question

Accepted Answer

Permutation and combination are mathematical concepts used to count the number of possible outcomes in a given scenario.

Permutation is the arrangement of objects in a specific order while combination is the selection of objects without considering the order.
Permutation formula: nPr = n!/(n-r)! where n is the total number of objects and r is the number of objects selected.
Combination formula: nCr = n!/r!(n-r)! where n is the total number of objects and r is the number of objects selected.
Permutation and combination are used in data science for feature selection, sampling, and hypothesis testing.
For example, in A/B testing, permutation is used to calculate the number of possible variations of the test while combination is used to calculate the number of possible groups to test.

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