Encoding techniques

Why we need encoding ?

Models in machine learning and deep learning requires input and output data to be in numeric format so the objective of encoding is to transform data to numeric so that machine can read the same and do the predictions

Types of Encoding techniques

1) One hot encoding

In this technique we encode each category of a categorical variable to 0 or 1 so that it converts in numeric value.

For eg. Gender: Male and female- we will transform male as 0 and female as 1

2)  Label encoding

3) Ordinal encoding