A Review of Regression and Classification Algorithms in Data Science: Theory, Complex Data, Implementations, and Applications.

The purpose of this final report is to provide an overview of the most commonly used algorithms in Data Science for solving regression and classification problems, and then understand how they adapt to cases where the data is complex. In the initial chapters, we introduce the algorithms we used, in order to review and contextualize the key concepts necessary for the continuation. Subsequently, we delve into how these algorithms behave with complex data. We then present possible implementations in the main programming languages used in this field. Finally, we discuss the application of the algorithms to real-life cases, followed by a comparison of the results obtained.