Machine Learning Hero

Summary Chapter 4

In Chapter 4, we explored key concepts and techniques in supervised learning, a central approach in machine learning where models learn from labeled data to make predictions. Supervised learning encompasses two major types of problems: regression (predicting continuous values) and classification (predicting categorical values). This chapter provided in-depth coverage of fundamental techniques for both regression and classification, alongside methods for evaluating and improving model performance.

We began with linear and polynomial regression, which are used to model relationships between input features and a continuous target variable. Linear regression assumes a linear relationship between the features and the target, while ...