40 Algorithms Every Programmer Should Know

Formulating supervised machine learning

Before going deeper into the details of supervised machine learning algorithms, let's define some of the basic supervised machine learning terminologies:

Terminology	Explanation
Target variable	The target variable is the variable that we want our model to predict. There can be only one target variable in a supervised machine learning model.
Label	If the target variable we want to predict is a category variable, it is called a label.
Features	The set of input variables used to predict the label is called the features.
Feature engineering	Transforming features to prepare them for the chosen supervised machine learning algorithm is called feature engineering.
Feature vector	Before ...