Question

# Let's begin implementing the k-Nearest Neighbors algorithm. Define...

Let's begin implementing the k-Nearest Neighbors algorithm. Define the distance function, which takes in two arguments: an array of numerical features, and a different array of numerical features. The function should return the Euclidean distance between the two arrays. Euclidean distance is often referred to as the straight-line distance formula that you may have learned previously.

Image transcription text

Question 1 Let's begin implementing the k-Nearest Neighbors algorithm. Define the distance function, which takes in two arguments: an array of numerical features, and a different array of numerical features. The function should return the Euclidean distance between the two arrays. Euclidean distance is often referred to as the straight-line distance formula that you may have learned previously. In [38]: I def distance(arr1, arr2) : return .. . # Don't change/delete the code below in this cell distance_example = distance(make_array(1, 2, 3), make_array (4, 5, 6)) distance_example

...

Solved by verified expert

Fusce dui lectus,

1. ctum vitae odio. Donec aliquet. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nam lacinia pulvinar t
2. ia pulvinar tortor nec facilisis. Pellentesque
3. dictum vitae odio. Donec aliquet. Lorem ipsum

ctum vitae odio. Donec aliquet. Lorem ipsum dolor sit amet, con

Explore over 16 million step-by-step answers from our library

Step-by-step explanation

usc

llent

ec facating elit.lestie consfet, consect0or neiciciturfa. Fusce dui lectus, congue vel laoreetlor neor neusce dui lectus,

tesque dapi

sum dolor sit amet, consectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficitur

congue vel laoreet ac, d

consect

2 Attachments
PNG
PNG