At the beginning of this project, I outlined a set of design requirements that my framework should satisfy. These requirements are based on the technical considerations of using a machine learning algorithm and the potential practical applications to markets. These design requirements are given in subcategories in the “Design Requirements” page.
In the scope of this project, there were also numerous design alternatives that were considered and tested. The first step was to select a programming language on which to implement my code. The second step in the design process required the selection of a machine learning framework to put into place. The third step required selecting a mechanism to mitigate the phenomenon of concept drift. The fourth step involved selecting the types of data that I wanted to utilize. These alternatives will be explored in four parts on the “Design Alternatives” page.
