Hands-On Unsupervised Learning with Python

Predictive analysis

Once the overall descriptive knowledge has been gathered and the awareness about the underlying causes is satisfactory, it's possible to create predictive models. The goal of these models is to infer future outcomes according to the history and the structure of the model itself. In many cases, this phase is analyzed together with the next one because we are seldom interested in a free evolution of the system (for example, how the temperature will change in the next month), but rather in the ways we can influence the output.

That said, let's focus only on the predictions, considering the most important elements that should be taken into account. The first consideration is about the nature of the processes. We don't need ...