diff --git a/README.md b/README.md
index 2db19f98d5aa09526a6363ad44dd9618e9770c35..7a106ec453166a032940bab0b558b1bb603f2767 100644
--- a/README.md
+++ b/README.md
@@ -31,7 +31,7 @@ This algorithm consists of calculating a Euclidean distance between the training
 
 ### Usage
 
-To understand the Knn algorithm with a simple example visit the link: https://www.makeareadme.com/
+To understand the Knn algorithm with a simple example visit the link: https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_knn_algorithm_finding_nearest_neighbors.htm#:~:text=With%20the%20help%20of%20KNN,Image%20Recognition%20and%20Video%20Recognition.
 
 The precision of our Knn Model can change according to the value of K
 
@@ -130,4 +130,4 @@ I trained the model 100 times, the following picture shows the variation of the
 
 The variation of the loss:
 
-![Screenshot](results/mlp_loss.png)
\ No newline at end of file
+![Screenshot](results/mlp_loss.png)