One Hot Encoding One hot encoding, consists in encoding each categorical variable with different boolean variables (also called dummy variables) which take values 0 or 1, indicating if a category is present in an observation. For example, for the categorical variable “Gender”, with labels ‘female’ and ‘male’, we can generate…

“Artificial Neural Network” is derived from biological neural networks that develop the structure of a human brain. Like the human brain, ANN also have neurons that are interconnected to one another in various layers of the networks. These neurons are known as nodes. The architecture of an artificial neural network Input Layer As the name suggests, it…

Feature Scaling Feature scaling refers to the methods or techniques used to normalize the range of independent variables in our data, or in other words, the methods to set the feature value range within a similar scale. …