diff --git a/contrib/machine-learning/Naive_Bayes_Classifiers.md b/contrib/machine-learning/Naive_Bayes_Classifiers.md
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--- a/contrib/machine-learning/Naive_Bayes_Classifiers.md
+++ b/contrib/machine-learning/Naive_Bayes_Classifiers.md
@@ -75,14 +75,6 @@ P(Spam|Keywords) > P(Not Spam|Keywords), we classify the new email as "Spam".
 #### 1. Gaussian Naive Bayes 
 In Gaussian Naive Bayes, continuous values associated with each feature are assumed to be distributed according to a Gaussian distribution. A Gaussian distribution is also called Normal distribution When plotted, it gives a bell shaped curve which is symmetric about the mean of the feature values as shown below:
 
-![image](https://drive.google.com/file/d/1_Ia9AFKeWjHCZFsFT_W3O1c9-bL-bcrN/view?usp=sharing)
-<svg width="100" height="100" xmlns="https://drive.google.com/file/d/1_Ia9AFKeWjHCZFsFT_W3O1c9-bL-bcrN/view?usp=sharing">
-  <circle cx="50" cy="50" r="40" stroke="black" stroke-width="3" fill="red" />
-</svg>
-
-
-
-https://drive.google.com/file/d/1_Ia9AFKeWjHCZFsFT_W3O1c9-bL-bcrN/view?usp=sharing
 ![img_2.png](img_2.png)
 
 * Assumption: Each feature follows a Gaussian distribution.