Regression is a robust statistical measurement for investigating the relationship between one or more independent (input features) variables and one dependent variable (output). In AI, regression is a supervised machine learning algorithm that can predict continuous numeric values. In simpler words, input features from the dataset are fed into the machine learning regression algorithm, which predicts the output values.
In this post, we’ll share a machine learning algorithms list of prominent regression techniques and discuss how supervised regression is implemented using the scikit-learn library.