This project was developed in the context of the curricular unit “Data Science” during my Master Degree. The project followed the KDD process and classify the data/forecast the future in four datasets - Covid-Pos and Credit Score classification; Covid deaths and traffic intensity forecasting. In both situations the models were trained from the available data, by adequately selecting and preparing it, followed by the assessment of the learnt models. The project contains an extensive report criticizing the results achieved and hypothesized the causes for better and worse performances by the learnt models. The goal was to understand the impact of the available options on the produced models’ performance. The project was done in groups of 4 and it was attributed a grade of with 17.09/20.
