Today, the amount of data generated is enormous; smartphones, credit cards, televisions, computers, home appliances, sensors, domotic systems, public and private transport, and so on are just a few examples of devices that generate data seamlessly. Such data is stored and then used for various purposes. One of these is data analysis using machine learning algorithms.
In the previous chapter, we analyzed how to build machine learning models step by step. At the start of the workflow, there is organization of data. Indeed, after collecting data, we typically need to import and preprocess. This first step is crucial for the proper functioning of the model that we will build and then for the final result.
In this chapter, we will have a look at how to import and organize our data in MATLAB. To do this, you should familiarize yourself with the MATLAB workspace in order to make the operations as simple as possible. Then we will analyze the different...