Machine Learning - Percentiles

Percentiles are used in statistics to give you a number that describes the value that a given percent of the values are lower than.

Example: Let's say we have an array that contains the ages of every person living on a street. ages = [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31] What is the 75. percentile? The answer is 43, meaning that 75% of the people are 43 or younger. The NumPy module has a method for finding the specified percentile:

method to find the percentiles: import numpy ages = [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]

What is the age that 90% of the people are younger than? import numpy ages = [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]