From b0176a41c0aed5b269e587342d4c25ed41f049c5 Mon Sep 17 00:00:00 2001
From: Vidushi Gupta <55969597+Vidushi-Gupta@users.noreply.github.com>
Date: Thu, 8 Jun 2023 15:14:18 +0530
Subject: [PATCH] Removed video and added hyperlink

Removed the Andrew NG video which does not exist anymore and added a hyperlink to the notebook for this lesson
---
 5-Clustering/2-K-Means/README.md | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/5-Clustering/2-K-Means/README.md b/5-Clustering/2-K-Means/README.md
index 4c503e949..18a08fdd6 100644
--- a/5-Clustering/2-K-Means/README.md
+++ b/5-Clustering/2-K-Means/README.md
@@ -1,9 +1,5 @@
 # K-Means clustering
 
-[![Andrew Ng explains Clustering](https://img.youtube.com/vi/hDmNF9JG3lo/0.jpg)](https://youtu.be/hDmNF9JG3lo "Andrew Ng explains Clustering")
-
-> 🎥 Click the image above for a video: Andrew Ng explains clustering
-
 ## [Pre-lecture quiz](https://gray-sand-07a10f403.1.azurestaticapps.net/quiz/29/)
 
 In this lesson, you will learn how to create clusters using Scikit-learn and the Nigerian music dataset you imported earlier. We will cover the basics of K-Means for Clustering. Keep in mind that, as you learned in the earlier lesson, there are many ways to work with clusters and the method you use depends on your data. We will try K-Means as it's the most common clustering technique. Let's get started!
@@ -36,7 +32,7 @@ One drawback of using K-Means includes the fact that you will need to establish
 
 ## Prerequisite
 
-You will work in this lesson's _notebook.ipynb_ file that includes the data import and preliminary cleaning you did in the last lesson.
+You will work in this lesson's [_notebook.ipynb_](https://github.com/microsoft/ML-For-Beginners/blob/main/5-Clustering/2-K-Means/notebook.ipynb) file that includes the data import and preliminary cleaning you did in the last lesson.
 
 ## Exercise - preparation