Bugl — code interview practice that feels like a game

Loading lesson path

Flash cards

Review the key moves

1/4

Core idea

What is the main idea behind Machine Learning - Percentiles?

Lesson checks

Short Mimo-style checks built from this lesson's code, terms, and sequence.

1Quick choice

Which statement best captures the main point of this lesson?

2Fill blank

Complete the missing token from the example code.

___()

3Order

Put the learning moves in the order that makes the concept easiest to apply.

ages = [5,31,43,48,50,41,7,11,15,39,80,82,32,2,8,6,25,36,27,61,31]

Example: Let's say we have an array that contains the ages of every person living on a street.

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

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:

percentile()

Example

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

x = numpy.percentile(ages, 90)
print(x)