How to transform data to better fit the Gaussian Distribution

we are going to see the various types of transformations of data to better fit for normal distribution (Gaussian Distribution).

We know that in the regression analysis the response variable should be normally distributed to get better prediction results.Most of the data scientists claim they are getting more accurate results when they transform the independent variables too. It means skew correction for the independent variables. Lower the skewness better the result.

Transformation is nothing but taking a mathematical function and applying it to the data

Overview

1. Log Transformation
2. Square-Root Transformation
3. Reciprocal Transformation
4. Box-Cox Transformation
5. QQ Plot Transformation
6. Reciprocal Transformation