Predicting Stock Prices with Regression Algorithms

In the previous chapter, we trained a classifier on a large click dataset using Spark. In this chapter, we will be solving a problem that interests everyone—predicting stock prices. Getting wealthy by means of smart investment—who isn't interested?! Stock market movements and stock price predictions have been actively researched by a large number of financial, trading, and even technology corporations. A variety of methods have been developed to predict stock prices using machine learning techniques. Herein, we will be focusing on learning several popular regression algorithms, including linear regression, regression trees and regression forests, and support vector regression, and utilizing ...

Get Python Machine Learning By Example - Third Edition now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.