Machine Learning Algorithms

We have already learned about the three broadly classified ML techniques: supervised, unsupervised, and reinforcement learning. Let's dive in and learn about the types of ML algorithms.

Regression

Regression in machine learning analyzes how independent variables or features correlate with a dependent variable or outcome. It serves as a predictive modeling approach, where an algorithm predicts continuous outcomes.

Consider an example where we want to predict the house price using only its area. We can model this using a straight line that describes the relationship between an area (independent variable) and the price of the house (dependent variable).