diff --git a/machine_learning/k_nearest_neighbours.py b/machine_learning/k_nearest_neighbors.py
similarity index 97%
rename from machine_learning/k_nearest_neighbours.py
rename to machine_learning/k_nearest_neighbors.py
index fbc1b8bd227e..28697dbf890d 100644
--- a/machine_learning/k_nearest_neighbours.py
+++ b/machine_learning/k_nearest_neighbors.py
@@ -1,5 +1,5 @@
 """
-k-Nearest Neighbours (kNN) is a simple non-parametric supervised learning
+k-Nearest Neighbors (kNN) is a simple non-parametric supervised learning
 algorithm used for classification. Given some labelled training data, a given
 point is classified using its k nearest neighbours according to some distance
 metric. The most commonly occurring label among the neighbours becomes the label