Keras Reinforcement Learning Projects

Building machine learning models step by step

When developing an application that uses machine learning, we will follow a procedure characterized by the following steps:

• Collecting the data: Everything starts from the data, no doubt about it; but one might wonder from where so much data comes. In practice, it is collected through lengthy procedures that may, for example, derive from measurement campaigns or face-to-face interviews. In all cases, the data is collected in a database so that it can then be analyzed to derive knowledge.
• Preparing the data: We have collected the data; now, we have to prepare it for the next step. Once we have this data, we must make sure it is in a format usable by the algorithm we want to use. To do this, you ...