6 Machine Learning Concepts for Beginners

In machine learning, the inputs that we have talked about above are called features. Features are a set of attributes assigned to a data point. The following example data set is a famous data set commonly used for machine learning practice problems known as "Boston housing prices". It consists of a set of features (highlighted red in the image below) relating to a house such as the age, average number of rooms and property tax values and a corresponding house price. For a machine learning model to be successful in performing its task a statistical relationship needs to exist between at least some of these features and the price of the house.