Purpose of Machine Learning Models

The purpose of machine learning models is to learn from data to solve certain problems.

For example, they can be utilized to distinguish spam emails or to predict housing prices.

The types of problems that machine learning models address generally fall into two categories:

1. Predicting specific categories (classes) Classification

2. Predicting continuous numerical values Regression

The differences between classification and regression problems are as follows:

When creating a machine learning model, it's important first to determine whether you're dealing with a classification or regression problem.

In the next lesson, we will explore classification in more detail.