Supervised Learning Using Python
Machine learning consists of three key components, which will be discussed in this article.
A dimension reduction technique tells how to choose the most important features from a set of features.
Using a given training/example dataset, classification describes how to categorize data into a set of target categories.
In regression, each independent variable is represented by a linear or nonlinear polynomial.
