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#### 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.