Forms of Supervised Learning
Explore the two core forms of supervised learning: classification and regression. Understand how categorical and numeric labels influence model creation and follow the typical workflow from data preparation to model training, using practical examples from datasets. Gain foundational knowledge applicable to various machine learning algorithms in data science.
The two forms of supervised learning
Conceptually, supervised learning is divided into two forms based on the nature of the label used to produce the machine learning model: classification and regression.
Classification
When the label data is categorical, the supervised learning process produces a classification machine learning model.
Classification is arguably the most common scenario where data scientists apply machine learning. Classification problems exist across all types of organizations. Here are some examples: ...