Linear regression versus SVM

In this section, we are going to build models that are completely different from previous chapters. We are going to build models that predict continuous variables and provide a daily return of EUR/USD exchange rates, and we are going to use two new learning algorithms, linear regression and SVM. Linear regression models try to find linear relationships between the target variables and the features, whereas SVM models try to build hyperplanes that maximize the distances between different classes. For this foreign exchange rate forecasting project, we are going to discuss how to build linear regression and SVM models for regression problems in C# using the Accord.NET Framework.

Before we build models, we will have ...

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