One-Hot Encoding This is where the integer encoded variable is removed and a new binary variable is added for each unique integer value. We will see both encoding techniques based on type of data used ...

One-Hot Encoding is a technique used in machine learning to represent categorical data as binary vectors. It is particularly useful ... often representing categories or labels. Examples include color, ...

Categorical data refers to variables that contain label values rather ... 0 2 Green 1 3 Blue 0 4 Green 1 One-Hot Encoding represents categorical variables as binary vectors. Each category is ...