# 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.

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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

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