How Machine Learning Models Work - One Byte Explainer

This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer.

Explainer

Machine learning is a system that learns from data and improves over time without writing extra programming. Machine learning models first train on the given data and then test the data by making decisions or predictions based on the given data.

Additional Context

Whenever studying machine learning, we often get confused about how it works, why we need testing and training data, and the functioning of models. I simply explain: the roles of data, and how models work.