Why do we use Functional Transformation:- To make the distribution of the data normal
<blockquote>
The normal distribution can be found using QQ plot (import scipy.stats as stats)
</blockquote>
<img src="https://cdn.hashnode.com/res/hashnode/image/upload/v1686404511919/13adba6d-9002-4a27-962a-7c4e051a505d.webp" alt />
This is a normal distribution
Mathematical transform in feature transformation
Functional Transformer
<ol>
<li>log transform (apply to right-skewed data)
</li>
<li>Recripocal transform
</li>
<li>square transform ( apply to left skewed data)
</li>
</ol>
power Transformer (Mostly used for transformation)
<ol>
<li>Box-Cox transform
</li>
<li>yeo-johnson transform
</li>
</ol>

Why do we use Functional Transformation:- To make the distribution of the data normal

> The normal distribution can be found using QQ plot (import scipy.stats as stats)

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1686404511919/13adba6d-9002-4a27-962a-7c4e051a505d.webp align="left")

This is a normal distribution

Mathematical transform in feature transformation

Functional Transformer

1. log transform (apply to right-skewed data)
    
2. Recripocal transform
    
3. square transform ( apply to left skewed data)
    

power Transformer (Mostly used for transformation)

1. Box-Cox transform
    
2. yeo-johnson transform

Functional Transformation

I am  undergraduate student who is currently immersed in the process of learning.
