Hands-On Transfer Learning with Python

Regression

This class of supervised learning algorithms helps us answer quantitative questions of the type how many or how much?. Formally, the key objective for regression models is value estimation. In this case, the output labels are continuous in nature (as opposed to being discrete in classification).

In the case of regression problems, the input data points are termed as independent or explanatory variables, while the output is termed as a dependent variable. Regression models are also trained using training data samples consisting of input (or independent) data points along with output (or dependent) signals. Linear regression, multivariate regression, regression trees, and so on are a few supervised regression algorithms.

Regression ...